Cunlin Wang

1.2k citations
25 papers · 839 · h-index 15

Impact in

  • Hematology top 10%
    • Iron Metabolism and Disorders
    • Erythropoietin and Anemia Treatment
  • Virology top 10%

Papers in

    • HIV/AIDS Research and Interventions 5
    • HIV/AIDS drug development and treatment 3
    • Cancer Treatment and Pharmacology 2

Cunlin Wang

24 papers receiving 811 citations

Peers

Cunlin Wang
Comparison fields: 5 of 103
  • Hematology 145
  • Virology 51
  • Epidemiology 324
  • Genetics 96
  • Nutrition and Dietetics 115
Replace Kim Nguyen with:
Kim Nguyen South Africa
Emanuele Nicastro Italy
Ronen Arnon United States
Zvenyika A. R. Gomo Zimbabwe
Randall S. Krakauer United States
A N Phillips United Kingdom
B T Colvin United Kingdom
Ilka de Fátima Santana Ferreira Boin Brazil
Borja M. Fernández‐Félix Spain
François Bompeka Lepira Democratic Republic of the Congo
Cunlin Wang relative to Kim Nguyen South Africa Kim Nguyen's profile →
Citations per field
00.5×4.6×
Kim Nguyen · 1×
Citations per year

Countries citing papers authored by Cunlin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Cunlin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008158
2 2015151
3 202072
4 200465
5 201356
6 200849
7 200542
8 201538
9 201234
10 201332
11 201625
12 201022
13 201918
14 200417
15 202017
16 20249
17 20229
18 20065
19 20214
20 20204

About Cunlin Wang

Cunlin Wang is a scholar working on Infectious Diseases, Oncology, Hematology, Epidemiology and Molecular Biology, having authored 25 papers that have together received 839 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (5 papers), HIV Research and Treatment (4 papers), HIV, Drug Use, Sexual Risk (3 papers), HIV/AIDS drug development and treatment (3 papers), Cancer Treatment and Pharmacology (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers) and Total Knee Arthroplasty Outcomes (2 papers). The work is most often cited by research in Hematology (145 citations), Virology (51 citations), Epidemiology (324 citations), Genetics (96 citations) and Nutrition and Dietetics (115 citations). Cunlin Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Sara B. Fein, Katherine R. Shealy, Judith Labiner‐Wolfe, David Vlahov, Noya Galai, Joseph Bareta, Kenrad E. Nelson, Thomas P. Gross, Federica Pisa and Sengwee Toh. Their work appears in journals such as Journal of Clinical Oncology, Blood, Pharmacoepidemiology and Drug Safety, PEDIATRICS and JAMA Internal Medicine.

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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