Junling Ma

111 papers receiving 4.2k citations

Peers

Junling Ma
Comparison fields: 5 of 169
  • Modeling and Simulation 1.1k
  • Gastroenterology 231
  • Surgery 1.6k
  • Endocrinology 158
  • Public Health, Environmental and Occupational Health 870
Replace Silvia Angeletti with:
Silvia Angeletti Italy
Andrew Roddam United Kingdom
Ziv Shkedy Belgium
Alain‐Jacques Valleron France
Pantelis G. Bagos Greece
Thomas J. Layden United States
Atul Sharma India
Chorh Chuan Tan Singapore
Qiuwei Pan Netherlands
Sharon Amit Israel
Junling Ma relative to Silvia Angeletti Italy Silvia Angeletti's profile →
Citations per field
00.5×3.1×
Silvia Angeletti · 1×
Citations per year

Countries citing papers authored by Junling Ma

Since Specialization
Citations

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

Fields of papers citing papers by Junling Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006336
2 2019221
3 2011219
4 2006193
5 2019182
6 2020176
7 2012173
8 2010145
9 1999144
10 2011129
11 2006120
12 2014114
13 2018110
14 2015108
15 2013106
16 200594
17 200681
18 201168
19 200967
20 201366

About Junling Ma

Junling Ma is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health, Surgery and Small Animals, having authored 124 papers that have together received 4.3k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (42 papers), COVID-19 epidemiological studies (31 papers), Mathematical and Theoretical Epidemiology and Ecology Models (22 papers), Gastric Cancer Management and Outcomes (19 papers), Evolution and Genetic Dynamics (15 papers), Complex Network Analysis Techniques (15 papers), Influenza Virus Research Studies (12 papers) and Cancer-related gene regulation (10 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Gastroenterology (231 citations), Surgery (1.6k citations), Endocrinology (158 citations) and Public Health, Environmental and Occupational Health (870 citations). Junling Ma has collaborated with scholars based in China, Canada and United States. Frequent co-authors include David J. D. Earn, Wei‐Cheng You, Kai‐Feng Pan, Jiyou Li, Lian Zhang, Weidong Liu, P. van den Driessche, Jonathan Dushoff, Mitchell H. Gail and Zhien Ma. Their work appears in journals such as Journal of Mathematical Biology, Bulletin of Mathematical Biology, Journal of Theoretical Biology, Mathematical Biosciences and Cancer Epidemiology Biomarkers & Prevention.

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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