Diana E. Benn

47 papers receiving 2.0k citations

Peers

Diana E. Benn
Comparison fields: 5 of 74
  • Cancer Research 1.2k
  • Endocrinology, Diabetes and Metabolism 968
  • Gastroenterology 179
  • Surgery 1.3k
  • Neurology 321
Replace Esther Korpershoek with:
Esther Korpershoek Netherlands
Trisha Dwight Australia
B Volk Germany
Thereasa A. Rich United States
Jaydira Del Rivero United States
Jens Waldmann Germany
Abigail I. Wald United States
Motohiko Aiba Japan
G. Kl�ppel Germany
Ye Zhou China
Diana E. Benn relative to Esther Korpershoek Netherlands Esther Korpershoek's profile →
Citations per field
00.5×1.5×
Esther Korpershoek · 1×
Citations per year

Countries citing papers authored by Diana E. Benn

Since Specialization
Citations

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

Fields of papers citing papers by Diana E. Benn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diana E. Benn. 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 Diana E. Benn. The network helps show where Diana E. Benn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010204
2 2016162
3 2010150
4 2008139
5 2011138
6 2015124
7 2012109
8 200388
9 201285
10 201378
11 201068
12 201458
13 201457
14
Sporadic and familial pheochromocytomas are associated with loss of at least two discrete intervals on chromosome 1p.
200055
15 201746
16 199844
17 200934
18 200634
19 200833
20 201429

About Diana E. Benn

Diana E. Benn is a scholar working on Cancer Research, Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology and Neurology, having authored 47 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (31 papers), Adrenal and Paraganglionic Tumors (31 papers), Pituitary Gland Disorders and Treatments (17 papers), Hormonal Regulation and Hypertension (8 papers), Estrogen and related hormone effects (4 papers), Neuroblastoma Research and Treatments (4 papers), Neurofibromatosis and Schwannoma Cases (3 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Cancer Research (1.2k citations), Endocrinology, Diabetes and Metabolism (968 citations), Gastroenterology (179 citations), Surgery (1.3k citations) and Neurology (321 citations). Diana E. Benn has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Bruce G. Robinson, Roderick Clifton‐Bligh, Anthony J. Gill, Stan B. Sidhu, Adele Clarkson, Trisha Dwight, Goswin Y. Meyer‐Rochow, Angela Chou, Anne Richardson and Deborah J. Marsh. Their work appears in journals such as Endocrine Related Cancer, The American Journal of Surgical Pathology, The Journal of Clinical Endocrinology & Metabolism, Journal of Surgical Research and Clinical Endocrinology.

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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