Tongzhen Chen

20 papers receiving 826 citations

Peers

Tongzhen Chen
Comparison fields: 5 of 67
  • Oncology 234
  • Cancer Research 103
  • Genetics 159
  • Molecular Biology 359
  • Endocrinology, Diabetes and Metabolism 79
Replace Junhye Kwon with:
Junhye Kwon South Korea
Tserenchunt Gansukh Germany
Jeffrey Chen United States
Awad Shamma Japan
Tae Jung Jang South Korea
Aki Iwai Japan
Victoria Fabris Argentina
Tatiana Martins Tilli Brazil
Caroline H. Diep United States
Marina Rigau Spain
Tongzhen Chen relative to Junhye Kwon South Korea Junhye Kwon's profile →
Citations per field
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Junhye Kwon · 1×
Citations per year

Countries citing papers authored by Tongzhen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tongzhen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009156
2 2014154
3 2001118
4
Deletion map of chromosome 16q in ductal carcinoma in situ of the breast: refining a putative tumor suppressor gene region.
1996102
5 202065
6 201256
7 201935
8 201529
9 201424
10 201222
11 201818
12 201515
13 20228
14 20198
15 20097
16 20207
17 20213
18 20232
19 20232
20 20101

About Tongzhen Chen

Tongzhen Chen is a scholar working on Surgery, Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism and Atomic and Molecular Physics, and Optics, having authored 22 papers that have together received 832 indexed citations. Recurring topics across this work include Salivary Gland Tumors Diagnosis and Treatment (6 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Ear and Head Tumors (3 papers), Bone Tumor Diagnosis and Treatments (2 papers), Photorefractive and Nonlinear Optics (2 papers), Oral and Maxillofacial Pathology (2 papers), Quantum optics and atomic interactions (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Oncology (234 citations), Cancer Research (103 citations), Genetics (159 citations), Molecular Biology (359 citations) and Endocrinology, Diabetes and Metabolism (79 citations). Tongzhen Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ayşegül A. Şahin, C. Marcelo Aldaz, Scott Kopetz, Yan Sun, Ping Ji, Wei Zhang, Qinghai Ji, Yulong Wang, Hua Guo and Victoria L. Seewaldt. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of the Optical Society of America B, The Journal of Steroid Biochemistry and Molecular Biology, Cancer Biology & Therapy and Acta Oto-Laryngologica.

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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