Changming An

1.4k citations
68 papers · 819 · h-index 14

Impact in

Papers in

Changming An

63 papers receiving 812 citations

Peers

Changming An
Comparison fields: 5 of 91
  • Cancer Research 292
  • Otorhinolaryngology 72
  • Molecular Biology 481
  • Endocrinology, Diabetes and Metabolism 94
  • Oncology 151
Replace Giuseppina Della Vittoria Scarpati with:
Giuseppina Della Vittoria Scarpati Italy
Lucheng Zhu China
Yajue Huang United States
Tim N. Beck United States
Dapeng Lei China
Kue Peng Lim Malaysia
Adnan Ali United Kingdom
Shengling Fu China
Xiao‐Peng Tian China
Barbara Fiamengo Italy
Changming An relative to Giuseppina Della Vittoria Scarpati Italy Giuseppina Della Vittoria Scarpati's profile →
Citations per field
00.5×1.5×2.4×
Giuseppina Della Vittoria Scarpati · 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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021154
2 201682
3 202064
4 202062
5 201953
6 201934
7 201627
8 202025
9 202125
10 202219
11 201919
12 201915
13 201414
14 201713
15 202112
16 202012
17 202211
18 202110
19 202110
20 20219

About Changming An

Changming An is a scholar working on Surgery, Otorhinolaryngology, Oncology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 68 papers that have together received 819 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (20 papers), Thyroid Cancer Diagnosis and Treatment (20 papers), Thyroid and Parathyroid Surgery (10 papers), Cancer Immunotherapy and Biomarkers (8 papers), Cancer-related molecular mechanisms research (8 papers), Cancer Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (292 citations), Otorhinolaryngology (72 citations), Molecular Biology (481 citations), Endocrinology, Diabetes and Metabolism (94 citations) and Oncology (151 citations). Changming An has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wei Gao, Yongyan Wu, Xiwang Zheng, Shuxin Wen, Ming Yang, Wei Xu, Zhengjiang Li, Wenting Pan, Xianfang Liu and Ping–Chang Yang. Their work appears in journals such as Frontiers in Oncology, Scientific Reports, Frontiers in Cell and Developmental Biology, Annals of Translational Medicine and Journal of Clinical Laboratory Analysis.

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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