C J Lips

595 citations
9 papers · 393 · h-index 8

Impact in

  • Neurology top 10%
    • Neuroblastoma Research and Treatments
  • Epidemiology top 10%
    • Neuroendocrine Tumor Research Advances

Papers in

C J Lips

9 papers receiving 383 citations

Peers

C J Lips
Comparison fields: 5 of 41
  • Neurology 137
  • Epidemiology 210
  • Endocrinology, Diabetes and Metabolism 87
  • Obstetrics and Gynecology 37
  • Oncology 125
Replace David Nevell with:
David Nevell Australia
H. Lietz Germany
Yeo Joo Kim South Korea
Akihiko Hashi Japan
Maurizio Lalle Italy
Fan Zhao China
Jee Won Park South Korea
Zoila T. Feldman United States
Catherine Goudie Canada
Nikolaus Tiling Germany
C J Lips relative to David Nevell Australia David Nevell's profile →
Citations per field
00.5×7.2×
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Citations per year

Countries citing papers authored by C J Lips

Since Specialization
Citations

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

Fields of papers citing papers by C J Lips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C J Lips. 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 C J Lips. The network helps show where C J Lips may publish in the future.

Co-authors

The 20 scholars most cited alongside C J Lips, 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 C J Lips Line = papers co-authored together C J Lips links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2004102
2 198476
3
Insulin-like growth factor gene expression in human smooth muscle tumors.
199073
4 200367
5
Expression and CpG methylation of the insulin-like growth factor II gene in human smooth muscle tumors.
199225
6 201118
7 199614
8
An avaII restriction fragment length polymorphism in the insulin-like growth factor II gene and the occurrence of smooth muscle tumors.
199312
9 19996

About C J Lips

C J Lips is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology, Surgery and Pathology and Forensic Medicine, having authored 9 papers that have together received 393 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Pituitary Gland Disorders and Treatments (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Epigenetics and DNA Methylation (1 paper), Genetic Syndromes and Imprinting (1 paper), Adrenal Hormones and Disorders (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Neurology (137 citations), Epidemiology (210 citations), Endocrinology, Diabetes and Metabolism (87 citations), Obstetrics and Gynecology (37 citations) and Oncology (125 citations). C J Lips has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Hans F. A. Vasen, C. B. H. W. Lamers, Rob B. van der Luijt, J.S. Sussenbach, Ton Gloudemans, Willem Den Otter, André P. van Beek, H Schneid, Pierre Zelissen and Carolina R C Pieterman. Their work appears in journals such as European Journal of Endocrinology, Critical Reviews in Oncology/Hematology, The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology and PubMed.

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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