Tran‐Der Tan

1.3k citations
40 papers · 839 · h-index 14

Impact in

Papers in

Tran‐Der Tan

36 papers receiving 824 citations

Peers

Tran‐Der Tan
Comparison fields: 5 of 65
  • Otorhinolaryngology 413
  • Obstetrics and Gynecology 62
  • Oncology 222
  • Pathology and Forensic Medicine 97
  • Cancer Research 63
Replace Hirohiko Akiyama with:
Hirohiko Akiyama Japan
Lionel Duck Belgium
W.A. Mourad Saudi Arabia
Tanja Pelz Germany
Joanne Stetz United States
Liliana Belgioia Italy
Sushmita Pathy India
Loredana Costa Italy
Puja Venkat United States
Marta Moreno Spain
Tran‐Der Tan relative to Hirohiko Akiyama Japan Hirohiko Akiyama's profile →
Citations per field
00.5×5.1×
Hirohiko Akiyama · 1×
Citations per year

Countries citing papers authored by Tran‐Der Tan

Since Specialization
Citations

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

Fields of papers citing papers by Tran‐Der Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000113
2 200389
3 200086
4 200185
5 199868
6 200563
7 200553
8 200640
9 200237
10 200636
11 200930
12 202224
13 199821
14 200514
15 20188
16 20058
17 20147
18 20077
19 20236
20 20216

About Tran‐Der Tan

Tran‐Der Tan is a scholar working on Pathology and Forensic Medicine, Oncology, Hematology, Otorhinolaryngology and Genetics, having authored 40 papers that have together received 839 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), Head and Neck Cancer Studies (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Viral-associated cancers and disorders (5 papers), CAR-T cell therapy research (4 papers), Acute Myeloid Leukemia Research (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Otorhinolaryngology (413 citations), Obstetrics and Gynecology (62 citations), Oncology (222 citations), Pathology and Forensic Medicine (97 citations) and Cancer Research (63 citations). Tran‐Der Tan has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include James Jer‐Min Jian, Skye Hongiun Cheng, Stella Y. Tsai, Nei‐Min Chu, Kwan-Yee Chan, Andrew T. Huang, Kuo‐Yang Yen, Jason Chia‐Hsien Cheng, Mei-Hua Tsou and Szu-Yun Leu. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Blood, HemaSphere, Gynecologic Oncology and HLA.

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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