Marc Vimolratana

1.1k citations
24 papers · 475 · h-index 8

Impact in

Papers in

Marc Vimolratana

20 papers receiving 462 citations

Peers

Marc Vimolratana
Comparison fields: 5 of 46
  • Endocrinology, Diabetes and Metabolism 177
  • Organic Chemistry 149
  • Surgery 152
  • Cellular and Molecular Neuroscience 68
  • Molecular Biology 236
Replace Paul J. Dransfield with:
Paul J. Dransfield United States
Kazunobu Kira Japan
Yasuhiro Yonetoku Japan
Tsuneo Yasuma Japan
Tomoyuki Odani Japan
Stefanie Keil Germany
Ana B. Bueno Spain
Corey Miller United States
Guiqing Liang United States
David Yeagley United States
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Citations per field
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Paul J. Dransfield · 1×
Citations per year

Countries citing papers authored by Marc Vimolratana

Since Specialization
Citations

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

Fields of papers citing papers by Marc Vimolratana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012119
2 2012103
3 200475
4 201271
5 200429
6 200819
7 201015
8 201812
9 20237
10 20234
11 20233
12 20243
13 20233
14 20242
15 20232
16 20242
17 20242
18 20232
19 20241
20 20241

About Marc Vimolratana

Marc Vimolratana is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Organic Chemistry, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 475 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (6 papers), Esophageal Cancer Research and Treatment (4 papers), Diabetes Treatment and Management (3 papers), Carbohydrate Chemistry and Synthesis (2 papers), Synthetic Organic Chemistry Methods (2 papers), Receptor Mechanisms and Signaling (2 papers), Pancreatic function and diabetes (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (177 citations), Organic Chemistry (149 citations), Surgery (152 citations), Cellular and Molecular Neuroscience (68 citations) and Molecular Biology (236 citations). Marc Vimolratana has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Sean P. Brown, Daniel C.-H. Lin, Jane Zhang, Paul J. Dransfield, Jian Luo, Jonathan B. Houze, Gayathri Swaminath, Masakazu Nakadai, Patrick G. Harran and Qingyi Li. Their work appears in journals such as European Journal of Cardio-Thoracic Surgery, ACS Medicinal Chemistry Letters, Tetrahedron Letters, Annals of Surgical Oncology and Journal of the American College of Surgeons.

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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