Ann Qin

602 citations
23 papers · 267 · h-index 11

Impact in

Papers in

    • Drug Transport and Resistance Mechanisms 8
    • Cytokine Signaling Pathways and Interactions 2
    • Liver Disease Diagnosis and Treatment 6

Ann Qin

21 papers receiving 253 citations

Peers

Ann Qin
Comparison fields: 5 of 71
  • Geriatrics and Gerontology 48
  • Physiology 27
  • Pharmacology 41
  • Pharmaceutical Science 26
  • Genetics 33
Replace Emma S. Child with:
Emma S. Child United Kingdom
Kevin Yang United States
Johannes J.M. Rood Netherlands
Dirk Bernicke Germany
Tianyu Wang China
Maria A.J. van Eijndhoven Netherlands
Silpa Narayanan United States
Upasana Ray United States
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Kunkun Han China
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Citations per field
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Citations per year

Countries citing papers authored by Ann Qin

Since Specialization
Citations

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

Fields of papers citing papers by Ann Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201347
2 201130
3 201328
4 201425
5 201721
6 201916
7 201515
8 201114
9 201412
10 202011
11 202010
12 20218
13 20197
14 20196
15 20234
16 20243
17 20232
18 20242
19 20152
20 20242

About Ann Qin

Ann Qin is a scholar working on Oncology, Epidemiology, Hematology, Molecular Biology and Genetics, having authored 23 papers that have together received 267 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), Pharmacogenetics and Drug Metabolism (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Drug Solubulity and Delivery Systems (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Geriatrics and Gerontology (48 citations), Physiology (27 citations), Pharmacology (41 citations), Pharmaceutical Science (26 citations) and Genetics (33 citations). Ann Qin has collaborated with scholars based in United States, Czechia and France. Frequent co-authors include Justin Q. Ly, Yuzhong Deng, Xiaorong Liang, Bianca M. Liederer, Edna F. Choo, Ryan Takahashi, Sheerin Shahidi-Latham, Peter S. Dragovich, Brian Dean and Lulu Yang. Their work appears in journals such as The Journal of Clinical Pharmacology, Bioanalysis, Clinical and Translational Science, Journal of Pharmaceutical Sciences and Neoplasia.

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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