Tony T. Jiang

45 total papers · 2.0k total citations
30 papers, 1.4k citations indexed

About

Tony T. Jiang is a scholar working on Immunology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tony T. Jiang has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 8 papers in Molecular Biology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tony T. Jiang's work include Reproductive System and Pregnancy (8 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (4 papers). Tony T. Jiang is often cited by papers focused on Reproductive System and Pregnancy (8 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (4 papers). Tony T. Jiang collaborates with scholars based in United States, China and United Kingdom. Tony T. Jiang's co-authors include Sing Sing Way, Jeremy M. Kinder, Lijun Xin, James M. Ertelt, Vandana Chaturvedi, Giang Pham, Aimen F. Shaaban, Beverly Strong, Tzu‐Yu Shao and W.X. Gladys Ang and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Tony T. Jiang

29 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tony T. Jiang 574 406 281 247 166 30 1.4k
Jeremy M. Kinder 921 1.6× 428 1.1× 321 1.1× 278 1.1× 274 1.7× 42 1.8k
Jared H. Rowe 1.1k 1.8× 271 0.7× 205 0.7× 153 0.6× 302 1.8× 33 1.7k
G. Canny 517 0.9× 348 0.9× 224 0.8× 128 0.5× 135 0.8× 39 1.8k
Andrew J. Martins 846 1.5× 621 1.5× 227 0.8× 145 0.6× 72 0.4× 29 1.7k
Karen Beckerman 731 1.3× 187 0.5× 311 1.1× 423 1.7× 184 1.1× 28 1.8k
Milan Chromek 362 0.6× 495 1.2× 415 1.5× 150 0.6× 48 0.3× 34 1.6k
Petya Koleva 335 0.6× 554 1.4× 184 0.7× 113 0.5× 70 0.4× 42 1.3k
M Roux 597 1.0× 182 0.4× 163 0.6× 158 0.6× 65 0.4× 47 1.3k
Devesha H. Kulkarni 385 0.7× 479 1.2× 101 0.4× 175 0.7× 64 0.4× 27 1.1k
Liza Konnikova 673 1.2× 680 1.7× 143 0.5× 171 0.7× 42 0.3× 52 1.7k

Countries citing papers authored by Tony T. Jiang

Since Specialization
Citations

This map shows the geographic impact of Tony T. Jiang'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 Tony T. Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony T. Jiang more than expected).

Fields of papers citing papers by Tony T. Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tony T. Jiang. 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 Tony T. Jiang. The network helps show where Tony T. Jiang may publish in the future.

Co-authorship network of co-authors of Tony T. Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Tony T. Jiang. A scholar is included among the top collaborators of Tony T. Jiang 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 Tony T. Jiang. Tony T. Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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