Junfeng Wang

2.4k citations
70 papers · 1.1k · h-index 15

Impact in

Papers in

Junfeng Wang

65 papers receiving 1.1k citations

Peers

Junfeng Wang
Comparison fields: 5 of 131
  • Hepatology 140
  • Health Informatics 22
  • Infectious Diseases 217
  • Statistics, Probability and Uncertainty 74
  • Oncology 254
Replace Wade Lee‐Smith with:
Wade Lee‐Smith United States
Nadine Shehata Canada
Sabrina Buoro Italy
Eun Joo Yun South Korea
Mark H. Yazer United States
Vipul Jairath Canada
Glenn Ramsey United States
Paul D. Mintz United States
Lucie Biard France
Babu P. Mohan United States
Junfeng Wang relative to Wade Lee‐Smith United States Wade Lee‐Smith's profile →
Citations per field
00.5×3.4×
Wade Lee‐Smith · 1×
Citations per year

Countries citing papers authored by Junfeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junfeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015172
2 2015147
3 201784
4 201479
5 201661
6 201556
7 202056
8 202235
9 201432
10
Activation of coagulation, anti-coagulation, fibrinolysis and the complement system in patients with urticaria.
201330
11 201926
12 200824
13 202022
14 200818
15 202417
16 201914
17
Post-diagnosis smoking and risk of cardiovascular, cancer, and all-cause mortality in survivors of 10 adult cancers: a prospective cohort study.
201914
18 200812
19 202011
20 200711

About Junfeng Wang

Junfeng Wang is a scholar working on Epidemiology, Economics and Econometrics, Surgery, Biomedical Engineering and Oncology, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (12 papers), Meta-analysis and systematic reviews (7 papers), Diabetes Management and Research (4 papers), Pharmaceutical Economics and Policy (4 papers), COVID-19 Clinical Research Studies (4 papers), HIV/AIDS Research and Interventions (3 papers), Advanced Causal Inference Techniques (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (140 citations), Health Informatics (22 citations), Infectious Diseases (217 citations), Statistics, Probability and Uncertainty (74 citations) and Oncology (254 citations). Junfeng Wang has collaborated with scholars based in Netherlands, China and Australia. Frequent co-authors include Mariska Leeflang, Patrick M. Bossuyt, Lotty Hooft, Daniël A. Korevaar, Cyriel Y. Ponsioen, Rinse K. Weersma, Ronald B. Geskus, Kirsten Boonstra, Ulrich Beuers and René Spijker. Their work appears in journals such as Cochrane Database of Systematic Reviews, BMJ Open, PharmacoEconomics, Gut and Journal of Clinical Epidemiology.

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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