Junling Ma

6.2k citations
128 papers · 4.5k · h-index 32

Impact in

    • COVID-19 epidemiological studies
  • Surgery top 2%
    • Helicobacter pylori-related gastroenterology studies
    • Eosinophilic Esophagitis

Papers in

Junling Ma

115 papers receiving 4.4k citations

Peers

Junling Ma
Comparison fields: 5 of 171
  • Modeling and Simulation 1.2k
  • Surgery 1.4k
  • Public Health, Environmental and Occupational Health 862
  • Endocrinology 159
  • Gastroenterology 135
Replace N. R. Ling with:
N. R. Ling United Kingdom
Silvia Angeletti Italy
Andrew Roddam United Kingdom
Alain‐Jacques Valleron France
Edith Lau Hong Kong
Pantelis G. Bagos Greece
Ziv Shkedy Belgium
Jennifer L. Gardy Canada
Marcel A. Behr Canada
Sharon Amit Israel
Junling Ma relative to N. R. Ling United Kingdom N. R. Ling's profile →
Citations per field
00.5×10×15×17.8×
N. R. Ling · 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 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006359
2 2019229
3 2011226
4 2006202
5 2019191
6 2020182
7 2012178
8 2010156
9 1999148
10 2011131
11 2006125
12 2014119
13 2013115
14 2005113
15 2018113
16 2015112
17 200684
18 201372
19 201171
20 200970

About Junling Ma

Junling Ma is a scholar working on Surgery, Modeling and Simulation, Public Health, Environmental and Occupational Health, Genetics and Molecular Biology, having authored 128 papers that have together received 4.5k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (33 papers), COVID-19 epidemiological studies (30 papers), Mathematical and Theoretical Epidemiology and Ecology Models (21 papers), Evolution and Genetic Dynamics (16 papers), Complex Network Analysis Techniques (15 papers), Gastric Cancer Management and Outcomes (12 papers), Influenza Virus Research Studies (10 papers) and Opinion Dynamics and Social Influence (8 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Surgery (1.4k citations), Public Health, Environmental and Occupational Health (862 citations), Endocrinology (159 citations) and Gastroenterology (135 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, Lian Zhang, Jiyou Li, 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 International Journal of Cancer.

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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