Clara Chen

4.0k citations
105 papers · 2.8k · h-index 25

Impact in

  • Nephrology top 1%
    • Gout, Hyperuricemia, Uric Acid
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Drug Transport and Resistance Mechanisms
    • CAR-T cell therapy research

Papers in

    • Cancer Treatment and Pharmacology 8
    • Multiple Myeloma Research and Treatments 19
    • Chronic Myeloid Leukemia Treatments 8
    • Acute Myeloid Leukemia Research 8

Clara Chen

97 papers receiving 2.7k citations

Peers

Clara Chen
Comparison fields: 5 of 124
  • Nephrology 467
  • Oncology 735
  • Immunology 482
  • Hematology 212
  • Cancer Research 165
Replace Nicolas Pallet with:
Nicolas Pallet France
Yoshihiko Ueda Japan
Haiping Mao China
Anne Tang United States
N. Gretz Germany
Seung Hee Yang South Korea
Alberto Aimo Italy
Haiyan Fu China
Chad Deal United States
Holger Rumpold Austria
Clara Chen relative to Nicolas Pallet France Nicolas Pallet's profile →
Citations per field
00.5×2.8×
Nicolas Pallet · 1×
Citations per year

Countries citing papers authored by Clara Chen

Since Specialization
Citations

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

Fields of papers citing papers by Clara Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009393
2 2006239
3 2009237
4 2012145
5 2012141
6 2009137
7 2018101
8 2007100
9 200996
10 201496
11 200583
12 200169
13 200066
14 200264
15 202258
16 201352
17 201150
18 200737
19 201334
20 200333

About Clara Chen

Clara Chen is a scholar working on Oncology, Hematology, Pulmonary and Respiratory Medicine, Molecular Biology and Surgery, having authored 105 papers that have together received 2.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (19 papers), Adrenal and Paraganglionic Tumors (11 papers), Prostate Cancer Treatment and Research (10 papers), Chronic Myeloid Leukemia Treatments (8 papers), Cancer Treatment and Pharmacology (8 papers), Acute Myeloid Leukemia Research (8 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Gout, Hyperuricemia, Uric Acid (6 papers). The work is most often cited by research in Nephrology (467 citations), Oncology (735 citations), Immunology (482 citations), Hematology (212 citations) and Cancer Research (165 citations). Clara Chen has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Tuhina Neogi, Yuqing Zhang, David J. Hunter, Christine E. Chaisson, Hyon K. Choi, William L. Dahut, James L. Gulley, Seth M. Steinberg, Elizabeth C. Jones and J. Scott Roberts. Their work appears in journals such as Blood, Journal of Clinical Oncology, Annals of the Rheumatic Diseases, Alzheimer s & Dementia and PharmacoEconomics.

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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