Jake J. Wen

2.2k total citations
43 papers, 1.7k citations indexed

About

Jake J. Wen is a scholar working on Epidemiology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jake J. Wen has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 14 papers in Molecular Biology and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jake J. Wen's work include Trypanosoma species research and implications (19 papers), Research on Leishmaniasis Studies (9 papers) and Cardiomyopathy and Myosin Studies (9 papers). Jake J. Wen is often cited by papers focused on Trypanosoma species research and implications (19 papers), Research on Leishmaniasis Studies (9 papers) and Cardiomyopathy and Myosin Studies (9 papers). Jake J. Wen collaborates with scholars based in United States, China and Argentina. Jake J. Wen's co-authors include Nisha Garg, Shivali Gupta, David H. Walker, Feng Han, Vsevolod L. Popov, Monisha Dhiman, Vandanajay Bhatia, Ravi S. Radhakrishnan, Claire B. Cummins and Xianxiu Wan and has published in prestigious journals such as The Journal of Immunology, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Jake J. Wen

43 papers receiving 1.6k citations

Peers

Jake J. Wen
Comparison fields: 5 of 110
  • Epidemiology 959
  • Public Health, Environmental and Occupational Health 589
  • Molecular Biology 465
  • Parasitology 329
  • Cardiology and Cardiovascular Medicine 277
Replace Cláudia N. Paiva with:
Cláudia N. Paiva Brazil
Takeshi Nara Japan
María Pilar Aoki Argentina
Mahalia S. Desruisseaux United States
Fabiano Ferreira Brazil
Mireille Laforge France
Heloísa D’Ávila Brazil
Isabel Pombo Grégoire France
María Luisa Campo Spain
Jichun Wang China
Cláudia N. Paiva Brazil View profile →
Citations per field, relative to Jake J. Wen
Jake J. Wen · 1×
Citations per year, relative to Jake J. Wen
Jake J. Wen · 1×

Countries citing papers authored by Jake J. Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jake J. Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jake J. Wen. 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 Jake J. Wen. The network helps show where Jake J. Wen may publish in the future.

Co-authorship network of co-authors of Jake J. Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Jake J. Wen. A scholar is included among the top collaborators of Jake J. Wen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jake J. Wen. Jake J. Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 16
2 22
3 33
4 37
5 73
6 16
7 79
8 32
9 72
10 40
11 5
12 98
13 71
14 54
15 53
16 95
17 75
18 115
19 51
20 4

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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