Ming Tan

37 papers receiving 953 citations

Peers

Ming Tan
Comparison fields: 5 of 96
  • Oncology 186
  • Pharmacology 99
  • Genetics 61
  • Pulmonary and Respiratory Medicine 177
  • Molecular Biology 342
Replace Daisuke Ito with:
Daisuke Ito Japan
Megumi Baba Japan
Fei Chu United States
Sarvajit Chakravarty United States
Mariko Kawakami United States
Feng Luo United States
Jan Österreicher Czechia
Pierre Scotney Australia
P Bernard France
Ken‐ichi Kozaki Japan
Ming Tan relative to Daisuke Ito Japan Daisuke Ito's profile →
Citations per field
00.5×2.5×
Daisuke Ito · 1×
Citations per year

Countries citing papers authored by Ming Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Antitumor activity of temozolomide combined with irinotecan is partly independent of O6-methylguanine-DNA methyltransferase and mismatch repair phenotypes in xenograft models.
2000115
2 2004105
3 200582
4 201179
5
A pilot study of protracted topotecan dosing using a pharmacokinetically guided dosing approach in children with solid tumors.
200358
6 199957
7 200750
8 201148
9 201746
10 200735
11 201933
12 201432
13
Modulation of the Fas signaling pathway by IFN-gamma in therapy of colon cancer: phase I trial and correlative studies of IFN-gamma, 5-fluorouracil, and leucovorin.
200227
14 201826
15 200419
16 202016
17 200515
18 200314
19 201713
20 199911

About Ming Tan

Ming Tan is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Cancer Research, having authored 38 papers that have together received 970 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (6 papers), Cancer therapeutics and mechanisms (4 papers), Colorectal and Anal Carcinomas (3 papers), Gastric Cancer Management and Outcomes (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer-related gene regulation (3 papers), Gallbladder and Bile Duct Disorders (3 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Oncology (186 citations), Pharmacology (99 citations), Genetics (61 citations), Pulmonary and Respiratory Medicine (177 citations) and Molecular Biology (342 citations). Ming Tan has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Clinton F. Stewart, Ove B. Schaffalitzky de Muckadell, Peter J. Houghton, Stig Borbjerg Laursen, Mark N. Kirstein, Tiebin Liu, Kristine R. Crews, Carlos Rodríguez‐Galindo, Najat C. Daw and John C. Panetta. Their work appears in journals such as Scandinavian Journal of Gastroenterology, Cancer Chemotherapy and Pharmacology, Cancer Letters, Scientific Reports and United European Gastroenterology Journal.

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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