Jane Evanson

3.1k citations
56 papers · 1.8k · h-index 25

Impact in

    • Pituitary Gland Disorders and Treatments
    • Growth Hormone and Insulin-like Growth Factors
    • Adrenal Hormones and Disorders
  • Genetics top 5%
    • Craniofacial Disorders and Treatments
    • Glioma Diagnosis and Treatment

Papers in

Jane Evanson

55 papers receiving 1.6k citations

Peers

Jane Evanson
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 794
  • Genetics 227
  • Neurology 178
  • Surgery 422
  • Genetics 277
Replace Kathleen Laborde with:
Kathleen Laborde France
Alison Wray Australia
Moisés Mercado Mexico
Gertrude Costin United States
Andrea Corrias Italy
Salvatore Di Maio Italy
Sadi Gündoğdu Türkiye
Laura Z. Fenton United States
Alexander T. Faje United States
Antonio Bizzarro Italy
Jane Evanson relative to Kathleen Laborde France Kathleen Laborde's profile →
Citations per field
00.5×1.5×1.8×
Kathleen Laborde · 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-authors

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

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996183
2 2000168
3 1996105
4 201990
5 201179
6 200173
7 200863
8 200163
9 200559
10 196559
11 196554
12 200352
13 200348
14 201347
15 201747
16 200845
17 200542
18 200542
19 201641
20 196438

About Jane Evanson

Jane Evanson is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Epidemiology and Neurology, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (22 papers), Glioma Diagnosis and Treatment (9 papers), Adrenal and Paraganglionic Tumors (7 papers), Meningioma and schwannoma management (6 papers), Neonatal and fetal brain pathology (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Hemoglobinopathies and Related Disorders (3 papers) and Adrenal Hormones and Disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (794 citations), Genetics (227 citations), Neurology (178 citations), Surgery (422 citations) and Genetics (277 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, Gregory Kaltsas, Barry M. Jones, W.K. Chong, William Harkness, Richard Hayward, Gerald F. Tuite and Sarah Stanbury. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Pituitary, Clinical Endocrinology and Neurology.

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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