Chi Ma

1.4k citations
28 papers · 567 · h-index 13

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Animal Disease Management and Epidemiology

Papers in

Chi Ma

25 papers receiving 559 citations

Peers

Chi Ma
Comparison fields: 5 of 99
  • Immunology 246
  • Agronomy and Crop Science 55
  • Infectious Diseases 97
  • Applied Microbiology and Biotechnology 10
  • Molecular Medicine 23
Replace Hashaam Akhtar with:
Hashaam Akhtar Pakistan
Michelle A. Williams United States
Yun Hu China
Alessandra Zevini Italy
Yong Ma China
Sahar Esfandyari United States
Robyn Taylor Australia
Cheng‐Bao Zhu China
George Tadeu Nunes Diniz Brazil
Chi Ma relative to Hashaam Akhtar Pakistan Hashaam Akhtar's profile →
Citations per field
00.5×10×13.8×
Hashaam Akhtar · 1×
Citations per year

Countries citing papers authored by Chi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009142
2 200765
3 201563
4 200542
5 202142
6 202041
7 201330
8 201825
9 200822
10 201115
11 201515
12 201314
13 200412
14 20168
15 20105
16 20175
17 20234
18 20253
19 20133
20 20153

About Chi Ma

Chi Ma is a scholar working on Epidemiology, Finance, Infectious Diseases, Agronomy and Crop Science and Immunology, having authored 28 papers that have together received 567 indexed citations. Recurring topics across this work include Healthcare Systems and Reforms (6 papers), Influenza Virus Research Studies (5 papers), Immune Cell Function and Interaction (5 papers), Healthcare Policy and Management (3 papers), Global Maternal and Child Health (3 papers), Global Health Care Issues (3 papers), Animal Disease Management and Epidemiology (3 papers) and Ruminant Nutrition and Digestive Physiology (2 papers). The work is most often cited by research in Immunology (246 citations), Agronomy and Crop Science (55 citations), Infectious Diseases (97 citations), Applied Microbiology and Biotechnology (10 citations) and Molecular Medicine (23 citations). Chi Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lianxian Cui, Wei Cao, Xueyan Xi, Wei He, Yan Kong, Dan Yang, Shuangge Ma, Denian Ba, Kenneth K.‐H. Ng and Pak‐Leung Ho. Their work appears in journals such as Public Health, Cellular and Molecular Immunology, Frontiers in Public Health, Blood and Scientific Reports.

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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