Diana E. Benn

48 papers receiving 2.1k citations

Peers

Diana E. Benn
Comparison fields: 5 of 73
  • Cancer Research 931
  • Endocrinology, Diabetes and Metabolism 758
  • Gastroenterology 176
  • Surgery 1.2k
  • Neurology 270
Replace Esther Korpershoek with:
Esther Korpershoek Netherlands
Trisha Dwight Australia
José Gaal Netherlands
B Volk Germany
Alexandre Buffet France
Christine Do Cao France
Thereasa A. Rich United States
Magnus Kjellman Sweden
G. Kl�ppel Germany
Isabella Morra Italy
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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010206
2 2016163
3 2010150
4 2008140
5 2011139
6 2015125
7 2012110
8 200388
9 201285
10 201379
11 201070
12 201459
13 201458
14
Sporadic and familial pheochromocytomas are associated with loss of at least two discrete intervals on chromosome 1p.
200055
15 201747
16 199845
17 200934
18 200634
19 200833
20 201429

About Diana E. Benn

Diana E. Benn is a scholar working on Surgery, Cancer Research, Endocrinology, Diabetes and Metabolism, Molecular Biology and Neurology, having authored 48 papers that have together received 2.1k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (31 papers), Cancer, Hypoxia, and Metabolism (22 papers), Pituitary Gland Disorders and Treatments (12 papers), Neuroblastoma Research and Treatments (4 papers), Estrogen and related hormone effects (4 papers), Hormonal Regulation and Hypertension (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (931 citations), Endocrinology, Diabetes and Metabolism (758 citations), Gastroenterology (176 citations), Surgery (1.2k citations) and Neurology (270 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, Clinical Endocrinology and The Journal of Pathology.

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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