Kimberly Brown

10.1k citations
124 papers · 4.9k indexed · h-index 37

Impact in

Papers in

    • Liver Disease and Transplantation 41
    • Hepatitis C virus research 37
    • Renal Transplantation Outcomes and Treatments 11

Kimberly Brown

119 papers receiving 4.8k citations

Peers

Kimberly Brown
Comparison fields: 5 of 148
  • Hepatology 1.6k
  • Transplantation 322
  • Epidemiology 1.4k
  • Psychiatry and Mental health 543
  • Oncology 724
Replace B. Ducot with:
B. Ducot France
Naoko Kinukawa Japan
Shu‐Cheng Chen United States
John B. Gross United States
Christer Holmberg Finland
Reiko Horikawa Japan
Mario Miccoli Italy
Karen L. Swanson United States
Lynne A. Murray United States
Junji Kishimoto Japan
Kimberly Brown relative to B. Ducot France B. Ducot's profile →
Citations per field
00.5×3.3×
B. Ducot · 1×
Citations per year

Countries citing papers authored by Kimberly Brown

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 202413
5 202312
6
Polypeptides having beta-glucosidase activity and polynucleotides encoding the same
20231
7 202219
8 202211
9 202119
10 20194
11 20197
12 201716
13 201620
14 201335
15 201153
16 20108
17 20084
18 199911
19 199672
20 19957

About Kimberly Brown

Kimberly Brown is a scholar working on Hepatology, Transplantation, Epidemiology, Microbiology and Psychiatry and Mental health, having authored 124 papers that have together received 4.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (43 papers), Liver Disease and Transplantation (41 papers), Hepatitis C virus research (37 papers), Organ Transplantation Techniques and Outcomes (25 papers), Hepatitis B Virus Studies (24 papers), Renal Transplantation Outcomes and Treatments (11 papers), Autism Spectrum Disorder Research (10 papers) and Behavioral and Psychological Studies (8 papers). The work is most often cited by research in Hepatology (1.6k citations), Transplantation (322 citations), Epidemiology (1.4k citations), Psychiatry and Mental health (543 citations) and Oncology (724 citations). Kimberly Brown has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Harold L. Moses, Jennifer A. Pietenpol, Mary Aakre, Anna Chytil, Brian K. Law, Lu Xie, Michael R. Lucey, Dilip Moonka, Marwan Abouljoud and Jesse Roth. Their work appears in journals such as Transplantation, Hepatology, Liver Transplantation, Journal of Applied Behavior Analysis and Current Opinion in Gastroenterology.

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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