Janet L. Martin

5.8k citations
75 papers · 5.0k indexed · 2 hit papers · h-index 38

Janet L. Martin

75 papers receiving 4.8k citations

Hit Papers

Binding proteins for the insulin-like growth factors: Str...5131986202619992012100200300400500

Peers

Janet L. Martin
Comparison fields: 5 of 111
  • Endocrinology, Diabetes and Metabolism 3.5k
  • Cancer Research 1.1k
  • Molecular Biology 2.7k
  • Genetics 900
  • Clinical Biochemistry 164
Replace Gilbert J. Cote with:
Gilbert J. Cote United States
R Rubin United States
Attila Patócs Hungary
Dimitris Kardassis Greece
Helmut J. Kolb Germany
Bassem R. Haddad United States
Antonella Farsetti Italy
Andrew J. Paterson United States
Seijiro Mori Japan
Motoyasu Saji United States
Janet L. Martin relative to Gilbert J. Cote United States Gilbert J. Cote's profile →
Citations per field
00.5×2.6×
Gilbert J. Cote · 1×
Citations per year

Countries citing papers authored by Janet L. Martin

Since Specialization
Citations

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

Fields of papers citing papers by Janet L. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20158
2 201518
3 201362
4 201261
5 201142
6 200970
7 2008100
8 200021
9 200019
10 200041
11 200042
12 199965
13 19998
14 199712
15 199252
16 19917
17 1991111
18 199169
19
Binding proteins for the insulin-like growth factors: Structure, regulation and functionbreakdown →
1989513
20 19891

About Janet L. Martin

Janet L. Martin is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Biotechnology, having authored 75 papers that have together received 5.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (53 papers), Metabolism, Diabetes, and Cancer (27 papers), Cancer, Hypoxia, and Metabolism (20 papers), Virus-based gene therapy research (9 papers), Cancer-related Molecular Pathways (6 papers), Cancer Research and Treatments (6 papers), Lipid metabolism and disorders (5 papers) and Neonatal Health and Biochemistry (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.5k citations), Cancer Research (1.1k citations) and Molecular Biology (2.7k citations). Janet L. Martin has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Robert C. Baxter, Carolyn D. Scott, Mike Z. Lin, Ian N.H. White, Caroline J. Springer, William I. Wood, William J. Henzel, George Cachianes, Renate Hellmiss and Genine Winslow. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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