Jane Sanders

2.9k citations
70 papers · 2.2k · h-index 31

Impact in

Papers in

Jane Sanders

62 papers receiving 2.1k citations

Peers

Jane Sanders
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Pathology and Forensic Medicine 470
  • Radiology, Nuclear Medicine and Imaging 442
  • Reproductive Medicine 132
  • Genetics 357
Replace Rauf Latif with:
Rauf Latif United States
Pavel N. Pichurin United States
Hideo Sugawa Japan
Shanli Tsui United States
Dora W. Hsu United States
Suzanne Jenkins United Kingdom
Monique Losekoot Netherlands
Marta Cortón Spain
Pieter Faber United States
Karl Worm Germany
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Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by Jane Sanders

Since Specialization
Citations

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

Fields of papers citing papers by Jane Sanders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007161
2 2003141
3 200798
4 201093
5 200293
6 200487
7 201186
8 200484
9 199765
10 200462
11 199958
12 202251
13 200449
14 200847
15 201045
16 200245
17 199443
18 200042
19 201242
20 199941

About Jane Sanders

Jane Sanders is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Reproductive Medicine, having authored 70 papers that have together received 2.2k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (34 papers), Monoclonal and Polyclonal Antibodies Research (26 papers), Receptor Mechanisms and Signaling (13 papers), Growth Hormone and Insulin-like Growth Factors (12 papers), Glycosylation and Glycoproteins Research (11 papers), Neuropeptides and Animal Physiology (8 papers), Hypothalamic control of reproductive hormones (6 papers) and Erythrocyte Function and Pathophysiology (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Pathology and Forensic Medicine (470 citations), Radiology, Nuclear Medicine and Imaging (442 citations), Reproductive Medicine (132 citations) and Genetics (357 citations). Jane Sanders has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Bernard Rees Smith, Jadwiga Furmaniak, Michele K. Evans, Tonya Richards, Ricardo Núñez Miguel, Paul W. Sanders, Jennifer Jeffreys, Yasuo Oda, Hilde Depraetere and Jane Bolton. Their work appears in journals such as Thyroid, Journal of Molecular Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology and Biochemical Society Transactions.

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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