Changming An

1.4k citations
70 papers · 854 · h-index 14

Impact in

Papers in

Changming An

63 papers receiving 847 citations

Peers

Changming An
Comparison fields: 5 of 87
  • Cancer Research 248
  • Otorhinolaryngology 58
  • Molecular Biology 426
  • Endocrinology, Diabetes and Metabolism 84
  • Aging 9
Replace Tim N. Beck with:
Tim N. Beck United States
Kue Peng Lim Malaysia
Matteo Ghilli Italy
Lucheng Zhu China
Xiao‐Peng Tian China
Manuela Migliavacca Italy
Sandra Ortiz‐Cuaran France
Gh Rasool Bhat India
Yonghao Zhan China
De‐Wei Wu Taiwan
Changming An relative to Tim N. Beck United States Tim N. Beck's profile →
Citations per field
00.5×6.5×
Tim N. Beck · 1×
Citations per year

Countries citing papers authored by Changming An

Since Specialization
Citations

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

Fields of papers citing papers by Changming An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021159
2 201682
3 202065
4 202065
5 201956
6 201934
7 201628
8 202125
9 202025
10 202220
11 201919
12 202116
13 201915
14 201414
15 201713
16 202012
17 202111
18 202111
19 202211
20 202110

About Changming An

Changming An is a scholar working on Surgery, Otorhinolaryngology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 70 papers that have together received 854 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (16 papers), Thyroid Cancer Diagnosis and Treatment (13 papers), Thyroid and Parathyroid Surgery (8 papers), Cancer-related molecular mechanisms research (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), RNA Research and Splicing (4 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Cancer Research (248 citations), Otorhinolaryngology (58 citations), Molecular Biology (426 citations), Endocrinology, Diabetes and Metabolism (84 citations) and Aging (9 citations). Changming An has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yongyan Wu, Wei Gao, Xiwang Zheng, Shuxin Wen, Zhengjiang Li, Ming Yang, Wei Xu, Wenting Pan, Xianfang Liu and Wenjie Chen. Their work appears in journals such as Frontiers in Oncology, Frontiers in Cell and Developmental Biology, Annals of Translational Medicine, Journal of Clinical Oncology and Scientific Reports.

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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