Jane Evanson

3.0k citations
55 papers · 1.6k indexed · h-index 25

Jane Evanson

54 papers receiving 1.5k citations

Peers

Jane Evanson
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 748
  • Genetics 289
  • Neurology 236
  • Surgery 570
  • Genetics 270
Replace John D. Carmichael with:
John D. Carmichael United States
Jens Bollerslev Norway
Sadi Gündoğdu Türkiye
Jean‐François Bonneville France
Dave Winter United Kingdom
Antonella Di Sarno Italy
Alvin B. Hayles United States
Bronson S. Ray United States
Jørgen Tobias Kühl Denmark
David A. Heath United Kingdom
Jane Evanson relative to John D. Carmichael United States John D. Carmichael's profile →
Citations per field
00.5×1.5×2.3×
John D. Carmichael · 1×
Citations per year

Countries citing papers authored by Jane Evanson

Since Specialization
Citations

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

Fields of papers citing papers by Jane Evanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20248
3 202312
4 201912
5 201821
6 20165
7 201638
8 20152
9 20127
10 201174
11 20091
12 20081
13 200718
14 200550
15 200539
16 200421
17 200350
18 200346
19 20029
20 1996162

About Jane Evanson

Jane Evanson is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Neurology, Surgery and Pediatrics, Perinatology and Child Health, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (24 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Glioma Diagnosis and Treatment (9 papers), Adrenal and Paraganglionic Tumors (9 papers), Meningioma and schwannoma management (7 papers), Adrenal Hormones and Disorders (5 papers), Neonatal and fetal brain pathology (4 papers) and Neuroblastoma Research and Treatments (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (748 citations), Genetics (289 citations), Neurology (236 citations), Surgery (570 citations) and Genetics (270 citations). Jane Evanson has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Ashley Grossman, G. M. Besser, John P. Monson, W.K. Chong, Richard Hayward, William Harkness, Barry M. Jones, Gerald F. Tuite, Gregory Kaltsas and P.N. Plowman. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Pituitary, Clinical Endocrinology and Neurosurgery.

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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