Ada Chen

1.5k citations
28 papers · 1.3k · h-index 17

Impact in

  • Physiology top 2%
    • Adenosine and Purinergic Signaling
  • Oncology top 5%
    • Cancer-related Molecular Pathways

Papers in

    • Cancer-related Molecular Pathways 9
    • Adenosine and Purinergic Signaling 5

Ada Chen

24 papers receiving 1.3k citations

Peers

Ada Chen
Comparison fields: 5 of 58
  • Physiology 151
  • Oncology 467
  • Computational Theory and Mathematics 165
  • Organic Chemistry 227
  • Molecular Biology 298
Replace Mary Adams with:
Mary Adams United States
Michael Mortimore United States
James R. Hitchin United Kingdom
Lisa S. Chen United States
Rohan V. Mendonca China
Samuel M. Levi United States
Eva‐Laure Matera France
Vijay M. Shahani Canada
Jo Waaler Norway
Maria Häggblad Sweden
Ada Chen relative to Mary Adams United States Mary Adams's profile →
Citations per field
00.5×2×4×6.7×
Mary Adams · 1×
Citations per year

Countries citing papers authored by Ada Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ada Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014245
2 2012149
3 2015132
4 202078
5 201477
6 201375
7 200173
8 201466
9 202052
10 201448
11 201438
12 202238
13 202037
14 201435
15 202132
16 201424
17 202020
18 201417
19 201417
20 201617

About Ada Chen

Ada Chen is a scholar working on Oncology, Physiology, Computational Theory and Mathematics, Organic Chemistry and Hematology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), Adenosine and Purinergic Signaling (5 papers), Synthesis and biological activity (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Computational Drug Discovery Methods (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Acute Myeloid Leukemia Research (2 papers) and Analytical Methods in Pharmaceuticals (1 paper). The work is most often cited by research in Physiology (151 citations), Oncology (467 citations), Computational Theory and Mathematics (165 citations), Organic Chemistry (227 citations) and Molecular Biology (298 citations). Ada Chen has collaborated with scholars based in United States and Germany. Frequent co-authors include Young Shin Kim, Erik Pong, Guoren Deng, Lixia Jin, Steven H. Olson, Jing Zhou, Jonathan D. Oliner, Qiuping Ye, Tao Osgood and Angela Coxon. Their work appears in journals such as Journal of Medicinal Chemistry, Molecular Cancer Therapeutics, ACS Medicinal Chemistry Letters, Combinatorial Chemistry & High Throughput Screening and Bioorganic & Medicinal Chemistry Letters.

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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