Hong Ma

1.7k total citations
76 papers, 1.2k citations indexed

About

Hong Ma is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Hong Ma has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Surgery and 13 papers in Epidemiology. Recurrent topics in Hong Ma's work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Pediatric Hepatobiliary Diseases and Treatments (5 papers) and RNA modifications and cancer (5 papers). Hong Ma is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (6 papers), Pediatric Hepatobiliary Diseases and Treatments (5 papers) and RNA modifications and cancer (5 papers). Hong Ma collaborates with scholars based in China, United States and United Kingdom. Hong Ma's co-authors include Thomas Peter, Eli S. Gang, Allan S. Lew, Genglin Jin, Chengchao Shou, Jian Wu, Jianzhi Zhang, Bin Dong, Xiaoying Liu and Jiyou Li and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Journal of the American College of Cardiology.

In The Last Decade

Hong Ma

73 papers receiving 1.2k citations

Peers

Hong Ma
Comparison fields: 5 of 120
  • Molecular Biology 489
  • Cardiology and Cardiovascular Medicine 291
  • Surgery 234
  • Cancer Research 190
  • Epidemiology 177
Replace Jen‐Pi Tsai with:
Jen‐Pi Tsai Taiwan
Yidong Wei China
Xin Yuan China
Lijun Sun China
Giuseppe Guglielmini Italy
Prosenjit Paul India
Bing Han China
Qiaoling Zhou China
H.J.M. van Rijn Netherlands
Yuichi Nakamura Japan
Jen‐Pi Tsai Taiwan View profile →
Citations per field, relative to Hong Ma
Hong Ma · 1×
Citations per year, relative to Hong Ma
Hong Ma · 1×

Countries citing papers authored by Hong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Hong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Ma. A scholar is included among the top collaborators of Hong Ma 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 Hong Ma. Hong Ma 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 5
2 5
3 4
4 2
5 1
6 49
7 1
8 1
9 3
10 5
11 2
12 1
13
The expression and significance of NEK2 mRNA in oral squamous cell carcinoma
0
14 9
15 11
16 1
17 11
18
Analysis of Microelements in Kudingcha and Common Tea
1
19 3
20 1

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