Ming Tian

4.3k citations
35 papers · 2.8k indexed · 1 hit paper · h-index 18
Topics
T-cell and B-cell Immunology (19 papers)Immune Cell Function and Interaction (13 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)

In The Last Decade

Ming Tian

34 papers receiving 2.8k citations

Hit Papers

Transcription-targeted DNA deamination by the AID antibod...20032026201020182003200400600

Peers

Ming Tian
Comparison fields: 5 of 92
  • Molecular Biology 1.7k
  • Immunology 1.3k
  • Epidemiology 258
  • Genetics 211
  • Radiology, Nuclear Medicine and Imaging 207
Replace Roger Sciammas with:
Roger Sciammas United States
Rachel M. Gerstein United States
Erik Hooijberg Netherlands
Michael J. Klemsz United States
Maria Guttinger Italy
Brad R. Rosenberg United States
Robert W. Overell United States
Ryo Goitsuka Japan
Hiroshi Arakawa Japan
Jonathan P. Butchar United States
Ming Tian relative to Roger Sciammas United States Roger Sciammas's profile →
Citations per field
00.5×1.5×2.0×
Roger Sciammas · 1×
Citations per year

Countries citing papers authored by Ming Tian

Since Specialization
Citations

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

Fields of papers citing papers by Ming Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Tian. A scholar is included among the top collaborators of Ming Tian 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 Ming Tian. Ming Tian 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
#WorkIndexed citations
1 1
2 3
3 6
4 11
5 18
6 2
7 23
8 5
9 8
10 13
11 6
12 15
13 78
14 43
15 127
16 166
17
Transcription-targeted DNA deamination by the AID antibody diversification enzymebreakdown →
605
18 294
19 7
20 152

About Ming Tian

Ming Tian is a scholar working on Immunology, Virology and Endocrinology, having authored 35 papers that have together received 2.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (13 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Immunology (1.3k citations), Molecular Biology (1.7k citations) and Virology (84 citations). Ming Tian has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Frederick W. Alt, Tom Maniatis, Katrin F. Chua, John Manis, Jayanta Chaudhuri, Eric Pinaud, Reiko Shinkura, Ali A. Zarrin, Nobuhiko Shinkura and Yuko Fujiwara. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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