L.L. Iversen

715 citations
18 papers · 650 · h-index 13

Impact in

Papers in

L.L. Iversen

17 papers receiving 591 citations

Peers

L.L. Iversen
Comparison fields: 5 of 74
  • Cellular and Molecular Neuroscience 543
  • Endocrine and Autonomic Systems 44
  • Physiology 135
  • Molecular Biology 378
  • Reproductive Medicine 31
Replace K. Tsuruta with:
K. Tsuruta United States
C. W. GREWE United States
R.A. Rius Italy
Öie Nordström Sweden
Karin Magendzo United States
DR Hill United Kingdom
Debora A. DiMaggio United States
S.D. Iversen United States
A. Verhofstad Netherlands
J A Clark United States
L.L. Iversen relative to K. Tsuruta United States K. Tsuruta's profile →
Citations per field
00.5×
K. Tsuruta · 1×
Citations per year

Countries citing papers authored by L.L. Iversen

Since Specialization
Citations

This map shows the geographic impact of L.L. Iversen'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 L.L. Iversen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.L. Iversen more than expected).

Fields of papers citing papers by L.L. Iversen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.L. Iversen. 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 L.L. Iversen. The network helps show where L.L. Iversen may publish in the future.

Co-authors

The 25 scholars most cited alongside L.L. Iversen, 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 L.L. Iversen Line = papers co-authored together L.L. Iversen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1986192
2 198897
3
Neurobiology of peptides.
197879
4 197865
5 199160
6 198834
7 198718
8 198917
9 199516
10 196815
11
Hypermethylated SUPERMAN Epigenetic Alleles in Arabidopsis
199714
12 198814
13 197412
14 19808
15 19884
16 19754
17 19831
18 19790

About L.L. Iversen

L.L. Iversen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Psychiatry and Mental health and Organic Chemistry, having authored 18 papers that have together received 650 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Receptor Mechanisms and Signaling (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Biochemical effects in animals (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Pain Mechanisms and Treatments (2 papers) and Hypothalamic control of reproductive hormones (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (543 citations), Endocrine and Autonomic Systems (44 citations), Physiology (135 citations), Molecular Biology (378 citations) and Reproductive Medicine (31 citations). L.L. Iversen has collaborated with scholars based in United States, United Kingdom and South Sudan. Frequent co-authors include A.T. McKnight, Janet J. Maguire, Alan C. Foster, Wylie Vale, Roger A. Nicoll, Brian J. Williams, P.C. Emson, Thomas M. Jessell, J.C. Reubi and Judith A. Poat. Their work appears in journals such as Regulatory Peptides, Nature, Naunyn-Schmiedeberg s Archives of Pharmacology, Life Sciences and Proceedings of the National Academy of Sciences.

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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