Diane E. Brown

53 papers receiving 2.9k citations

Peers

Diane E. Brown
Comparison fields: 5 of 136
  • Hematology 597
  • Immunology 464
  • Molecular Biology 1.4k
  • Cancer Research 312
  • Physiology 406
Replace Mario Stefanini with:
Mario Stefanini Italy
Masayuki Funaba Japan
Yoshihiro Hayashi Japan
Mones Abu‐Asab United States
Peter J. Cowan Australia
Meir Lahav Israel
Richard G. Lea United Kingdom
Masato Orita Japan
Carlos R. Morales Canada
Eugene B. Dowdle South Africa
Diane E. Brown relative to Mario Stefanini Italy Mario Stefanini's profile →
Citations per field
00.5×1.5×
Mario Stefanini · 1×
Citations per year

Countries citing papers authored by Diane E. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Diane E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999411
2 2013379
3 1997375
4
Practical murine hematopathology: a comparative review and implications for research.
2015203
5 2007194
6
Biotic communities of the southwest.
1980113
7 200191
8 200788
9 199783
10 200174
11 199664
12 198660
13 201555
14 199751
15 201449
16 201048
17 201348
18
Feline Niemann-Pick disease type C.
199443
19 201342
20 200539

About Diane E. Brown

Diane E. Brown is a scholar working on Hematology, Biochemistry, Genetics, Physiology and Immunology, having authored 54 papers that have together received 3.0k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (6 papers), Animal Nutrition and Physiology (4 papers), Iron Metabolism and Disorders (4 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Retinoids in leukemia and cellular processes (4 papers), Veterinary Oncology Research (4 papers), Crustacean biology and ecology (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hematology (597 citations), Immunology (464 citations), Molecular Biology (1.4k citations), Cancer Research (312 citations) and Physiology (406 citations). Diane E. Brown has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Jeannie T. Lee, Eda Yildirim, Scott C. Kogan, J. Michael Bishop, Irving L. Weissman, Eric Lagasse, James E. Kirby, Ruslan I. Sadreyev, David T. Scadden and François Mercier. Their work appears in journals such as Veterinary Clinical Pathology, Veterinary Pathology, Cochrane Database of Systematic Reviews, Journal of Inherited Metabolic Disease and Anesthesia & Analgesia.

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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