Nicholas Ling

467 papers receiving 34.3k citations

Nicholas Ling's Hit Papers

Identification and molecular characterization of insulin-like growth factor binding proteins (IGFBP-1, -2, -3, -4, -5 and -6) 1991 · 591 citations
5910+16+32Years since publication2505007501000

Peers

Nicholas Ling
Comparison fields: 5 of 168
  • Behavioral Neuroscience 3.3k
  • Endocrinology, Diabetes and Metabolism 11.2k
  • Endocrine and Autonomic Systems 4.1k
  • Cellular and Molecular Neuroscience 9.7k
  • Reproductive Medicine 3.6k
Replace Roger Guillemin with:
Roger Guillemin United States
Andrew V. Schally United States
Günther Schütz Germany
Kevin Catt United States
Akira Arimura United States
Hiroo Imura Japan
Hubert Vaudry France
Luis Miguel García‐Segura Spain
Michael G. Rosenfeld United States
Fernand Labrie Canada
Nicholas Ling relative to Roger Guillemin United States Roger Guillemin's profile →
Citations per field
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Roger Guillemin · 1×
Citations per year

Countries citing papers authored by Nicholas Ling

Since Specialization
Citations

This map shows the geographic impact of Nicholas Ling's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nicholas Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Ling more than expected).

Fields of papers citing papers by Nicholas Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas Ling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nicholas Ling. The network helps show where Nicholas Ling may publish in the future.

Co-authors

The 25 scholars most cited alongside Nicholas Ling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nicholas Ling Line = papers co-authored together Nicholas Ling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 469 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hypothalamic Polypeptide That Inhibits the Secretion of Immunoreactive Pituitary Growth Hormone
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19732871
2
β-Endorphin and Adrenocorticotropin Are Selected Concomitantly by the Pituitary Gland
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19771161
3
Growth Hormone-Releasing Factor from a Human Pancreatic Tumor That Caused Acromegaly
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19821004
4
Pituitary FSH is released by a heterodimer of the β-subunits from the two forms of inhibin
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1986909
5
Common precursor to corticotropins and endorphins
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1977846
6
Endorphins: Profound Behavioral Effects in Rats Suggest New Etiological Factors in Mental Illness
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1976618
7
Primary structure of bovine pituitary basic fibroblast growth factor (FGF) and comparison with the amino-terminal sequence of bovine brain acidic FGF.
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1985609
8
Complementary DNA sequences of ovarian follicular fluid inhibin show precursor structure and homology with transforming growth factor-β
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1985597
9
Identification and molecular characterization of insulin-like growth factor binding proteins (IGFBP-1, -2, -3, -4, -5 and -6)
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1991591
10
Protein kinase C phosphorylation of the EGF receptor at a threonine residue close to the cytoplasmic face of the plasma membrane
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1984577
11
Neurons containing beta-endorphin in rat brain exist separately from those containing enkephalin: immunocytochemical studies.
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1978500
12
Foot-shock induced stress increases β-endorphin levels in blood but not brain
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1977444
13
The Interrelationship of Growth Hormone (GH)-Releasing Factor and Somatostatin in Generation of the Ultradian Rhythm of GH Secretion*
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1984430
14 2006370
15
Regional dissociation of beta-endorphin and enkephalin contents in rat brain and pituitary.
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1977365
16 1987360
17 1985357
18
Primary Structure of the Ovine Hypothalamic Luteinizing Hormone-Releasing Factor (LRF)
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1972349
19 1997333
20 1996332

About Nicholas Ling

Nicholas Ling is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Behavioral Neuroscience and Endocrine and Autonomic Systems, having authored 469 papers that have together received 36.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (153 papers), Neuropeptides and Animal Physiology (94 papers), Receptor Mechanisms and Signaling (70 papers), Stress Responses and Cortisol (59 papers), Chemical Synthesis and Analysis (44 papers), Regulation of Appetite and Obesity (38 papers), TGF-β signaling in diseases (35 papers) and Fish Ecology and Management Studies (34 papers). The work is most often cited by research in Behavioral Neuroscience (3.3k citations), Endocrinology, Diabetes and Metabolism (11.2k citations), Endocrine and Autonomic Systems (4.1k citations), Cellular and Molecular Neuroscience (9.7k citations) and Reproductive Medicine (3.6k citations). Nicholas Ling has collaborated with scholars based in United States, Japan and New Zealand. Frequent co-authors include Roger Guillemin, Frederick Esch, Paul Brazeau, Shunichi Shimasaki, Wylie Vale, Andrew Baird, Floyd E. Bloom, Peter Böhlen, Roger Burgus and Naoto Ueno. Their work appears in journals such as Biochemical and Biophysical Research Communications, Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Proceedings of the National Academy of Sciences and Regulatory Peptides.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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