Ming Tian

19 total papers · 611 total citations
11 papers, 434 citations indexed

About

Ming Tian is a scholar working on Cancer Research, Molecular Biology and Pollution. According to data from OpenAlex, Ming Tian has authored 11 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 3 papers in Molecular Biology and 2 papers in Pollution. Recurrent topics in Ming Tian's work include Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (2 papers) and Proteins in Food Systems (2 papers). Ming Tian is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (2 papers) and Proteins in Food Systems (2 papers). Ming Tian collaborates with scholars based in China, Norway and United States. Ming Tian's co-authors include Hui Wang, Zongcai Tu, Di Liu, Jihong Liu Clarke, Xinmiao He, Yanzhong Feng, André van Eerde, Ming Gong, Wentao Wang and Heshu Chen and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Environmental Management and Journal of Food Engineering.

In The Last Decade

Ming Tian

9 papers receiving 430 citations

Author Peers

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

Author Last Decade Papers Cites
Ming Tian 140 134 63 58 55 11 434
Young-Bae Kim 103 0.7× 160 1.2× 16 0.3× 28 0.5× 50 0.9× 10 437
Jiaming Huang 84 0.6× 131 1.0× 12 0.2× 26 0.4× 15 0.3× 26 448
Matthew J. Domek 70 0.5× 97 0.7× 23 0.4× 6 0.1× 13 0.2× 15 381
Regina Schöps 70 0.5× 240 1.8× 65 1.0× 4 0.1× 34 0.6× 18 418
Ka-Yeon Lee 102 0.7× 179 1.3× 12 0.2× 5 0.1× 23 0.4× 21 438
Robin Korte 82 0.6× 198 1.5× 7 0.1× 6 0.1× 25 0.5× 13 490
Ananta Prasad Arukha 44 0.3× 90 0.7× 33 0.5× 7 0.1× 17 0.3× 21 444
Tianyuan Zhen 111 0.8× 62 0.5× 19 0.3× 10 0.2× 11 0.2× 13 372
Dilan Amila Satharasinghe 90 0.6× 134 1.0× 22 0.3× 95 1.6× 65 1.2× 25 417
Anabelle Sequeira-Le Grand 155 1.1× 182 1.4× 13 0.2× 6 0.1× 34 0.6× 10 389

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

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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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