Jennifer R. Brown

43.9k citations
451 papers · 14.5k indexed · 6 hit papers · h-index 62
Topics
Chronic Lymphocytic Leukemia Research (382 papers)Lymphoma Diagnosis and Treatment (188 papers)Immunodeficiency and Autoimmune Disorders (99 papers)

In The Last Decade

Jennifer R. Brown

422 papers receiving 14.3k citations

Hit Papers

Targeting BCL2 with Venetoclax in Relapsed Chronic Lympho...2011202620162021201520112014201920214008001.2k

Peers

Jennifer R. Brown
Comparison fields: 5 of 151
  • Genetics 8.3k
  • Pathology and Forensic Medicine 6.5k
  • Molecular Biology 4.7k
  • Oncology 3.6k
  • Immunology 3.6k
Replace Martin J.S. Dyer with:
Martin J.S. Dyer United Kingdom
Ahmet Doǧan United States
Peter McLaughlin United States
Alberto Órfão Spain
Andreas Neubauer Germany
K C Gatter United Kingdom
Brigitte Schlegelberger Germany
Ulrich Jaeger Austria
Peter Marynen Belgium
G Hale United Kingdom
Jennifer R. Brown relative to Martin J.S. Dyer United Kingdom Martin J.S. Dyer's profile →
Citations per field
00.5×2.9×
Martin J.S. Dyer · 1×
Citations per year

Countries citing papers authored by Jennifer R. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer R. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer R. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer R. Brown. A scholar is included among the top collaborators of Jennifer R. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer R. Brown. Jennifer R. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 1
4 45
5 144
6 2
7 227
8 62
9 215
10 45
11 109
12 15
13 142
14 59
15 45
16 6
17 39
18 100
19 74
20 80

About Jennifer R. Brown

Jennifer R. Brown is a scholar working on Genetics, Pathology and Forensic Medicine and Hematology, having authored 451 papers that have together received 14.5k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (382 papers), Lymphoma Diagnosis and Treatment (188 papers) and Immunodeficiency and Autoimmune Disorders (99 papers). The work is most often cited by research in Genetics (8.3k citations), Pathology and Forensic Medicine (6.5k citations) and Hematology (2.9k citations). Jennifer R. Brown has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Matthew S. Davids, Thomas J. Kipps, William G. Wierda, John M. Pagel, Brad S. Kahl, Anthony Letai, John F. Seymour, Michael E. Greenberg, Richard R. Furman and Andrew W. Roberts. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.

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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