Eric Ma

34 papers receiving 520 citations

Peers

Eric Ma
Comparison fields: 5 of 112
  • Agronomy and Crop Science 126
  • Infectious Diseases 157
  • Epidemiology 193
  • Modeling and Simulation 25
  • Radiology, Nuclear Medicine and Imaging 85
Replace Bryan Kim with:
Bryan Kim South Korea
Xiequn Xu China
Zhenggang Jiang China
Khanh Cong Nguyen Vietnam
Jan Baumann Germany
Shahab Mahmoudvand Iran
Ruangang Pan China
Pinky Langat United Kingdom
Max R. Proffitt United States
Eric Ma relative to Bryan Kim South Korea Bryan Kim's profile →
Citations per field
00.5×2.7×
Bryan Kim · 1×
Citations per year

Countries citing papers authored by Eric Ma

Since Specialization
Citations

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

Fields of papers citing papers by Eric Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201659
2 201656
3 201943
4 202037
5 201737
6 200029
7 201528
8 202024
9 200523
10 201621
11 202020
12 201820
13 200719
14 201117
15 201413
16 202212
17 201612
18 202310
19
Evaluation of 6 Methods for Aerobic Bacterial Sanitization of Smartphones.
201810
20 20108

About Eric Ma

Eric Ma is a scholar working on Infectious Diseases, Agronomy and Crop Science, Modeling and Simulation, Clinical Biochemistry and Epidemiology, having authored 37 papers that have together received 542 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Animal Disease Management and Epidemiology (5 papers), HER2/EGFR in Cancer Research (4 papers), Viral Infections and Vectors (4 papers), Respiratory viral infections research (3 papers), Genomics and Phylogenetic Studies (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Agronomy and Crop Science (126 citations), Infectious Diseases (157 citations), Epidemiology (193 citations), Modeling and Simulation (25 citations) and Radiology, Nuclear Medicine and Imaging (85 citations). Eric Ma has collaborated with scholars based in United States, Hong Kong and Switzerland. Frequent co-authors include Jonathan A. Runstadler, Nichola J. Hill, Anthony Fung, Walter M. Boyce, William Mylott, Mark S. Lindberg, Brandt W. Meixell, Islam T. M. Hussein, Anton I. Rosenbaum and Greggory M. Rice. Their work appears in journals such as Analytical Chemistry, Journal of Chromatography B, Proceedings of the National Academy of Sciences, Scientific Reports and World Neurosurgery.

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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