Eric S. Kawaguchi

1.7k total citations
28 papers, 135 citations indexed

About

Eric S. Kawaguchi is a scholar working on Surgery, Statistics and Probability and Infectious Diseases. According to data from OpenAlex, Eric S. Kawaguchi has authored 28 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Statistics and Probability and 5 papers in Infectious Diseases. Recurrent topics in Eric S. Kawaguchi's work include Statistical Methods and Inference (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Transplantation: Methods and Outcomes (5 papers). Eric S. Kawaguchi is often cited by papers focused on Statistical Methods and Inference (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Transplantation: Methods and Outcomes (5 papers). Eric S. Kawaguchi collaborates with scholars based in United States, Hong Kong and China. Eric S. Kawaguchi's co-authors include Juan Pablo Lewinger, Gang Li, Marc A. Suchard, W. James Gauderman, Howard Hu, Lauren Martinez, David V. Conti, Ryan Lee, Jeffrey D. Klausner and Daniel W. Soto and has published in prestigious journals such as Cancer, Scientific Reports and Statistics in Medicine.

In The Last Decade

Eric S. Kawaguchi

25 papers receiving 130 citations

Peers

Eric S. Kawaguchi
Comparison fields: 5 of 57
  • Infectious Diseases 44
  • Surgery 32
  • Health 25
  • Biomedical Engineering 22
  • Modeling and Simulation 19
Reyna Klesh United States
Daniel Parras Spain
Dakshitha Wickramasinghe Sri Lanka
Sanket Kulkarni India
Jameson P. Davis United States
Sheng Long United States
Baoqi Zeng China
Andrew R. Weckstein United States
Noëlla Pierlet Belgium
Akanksha Batajoo United States
Reyna Klesh United States View profile →
Citations per field, relative to Eric S. Kawaguchi
Eric S. Kawaguchi · 1×
Citations per year, relative to Eric S. Kawaguchi
Eric S. Kawaguchi · 1×

Countries citing papers authored by Eric S. Kawaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Kawaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Kawaguchi. 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 Eric S. Kawaguchi. The network helps show where Eric S. Kawaguchi may publish in the future.

Co-authorship network of co-authors of Eric S. Kawaguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Eric S. Kawaguchi. A scholar is included among the top collaborators of Eric S. Kawaguchi 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 Eric S. Kawaguchi. Eric S. Kawaguchi 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 0
2 1
3 0
4 4
5 9
6 1
7 4
8 3
9 2
10 3
11 5
12 7
13 18
14 3
15 12
16 1
17 2
18 24
19 7
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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026