T Brown

38 papers receiving 912 citations

Peers

T Brown
Comparison fields: 5 of 65
  • Endocrinology, Diabetes and Metabolism 427
  • Nephrology 105
  • Oncology 238
  • Cancer Research 114
  • Surgery 207
Replace Adam Stenman with:
Adam Stenman Sweden
Georg F. W. Scheumann Germany
Michaele J. Armstrong United States
Matti L. Gild Australia
Yalan Bi China
Sergio Rodríguez‐Cuevas Mexico
Keith A. Aldinger United States
Takaya Kodama Japan
Angelo Giovanni Bonadio Italy
Kate E Lines United Kingdom
T Brown relative to Adam Stenman Sweden Adam Stenman's profile →
Citations per field
00.5×3.8×
Adam Stenman · 1×
Citations per year

Countries citing papers authored by T Brown

Since Specialization
Citations

This map shows the geographic impact of T Brown'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 T Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Brown more than expected).

Fields of papers citing papers by T Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015268
2 2015110
3 201869
4 202166
5 201465
6 201453
7
Angiofollicular lymph node hyperplasia.
196839
8 201929
9 201922
10 201421
11 201816
12 200714
13 201513
14
Morphological changes in smokers' lungs.
195713
15 201712
16 202111
17 201511
18 201810
19 20219
20 20179

About T Brown

T Brown is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Nephrology, Oncology and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 920 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (8 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Adrenal and Paraganglionic Tumors (5 papers), Genetic Syndromes and Imprinting (3 papers), Cancer Genomics and Diagnostics (2 papers), Microtubule and mitosis dynamics (2 papers), Neuroblastoma Research and Treatments (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (427 citations), Nephrology (105 citations), Oncology (238 citations), Cancer Research (114 citations) and Surgery (207 citations). T Brown has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Tobias Carling, Reju Korah, Manju L. Prasad, James M. Healy, C. Christofer Juhlin, Catharina Larsson, Richard P. Lifton, William E. Gillanders, John W. Kunstman and Narendra V. Sankpal. Their work appears in journals such as Surgery, The Journal of Clinical Endocrinology & Metabolism, BMC Cancer, Journal of the American College of Surgeons and JAMA Surgery.

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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