Qing Guan

1.7k total citations · 1 hit paper
46 papers, 1.1k citations indexed

About

Qing Guan is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Qing Guan has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 17 papers in Surgery and 13 papers in Molecular Biology. Recurrent topics in Qing Guan's work include Thyroid Cancer Diagnosis and Treatment (21 papers), Thyroid and Parathyroid Surgery (7 papers) and Head and Neck Anomalies (5 papers). Qing Guan is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (21 papers), Thyroid and Parathyroid Surgery (7 papers) and Head and Neck Anomalies (5 papers). Qing Guan collaborates with scholars based in China and United States. Qing Guan's co-authors include Jun Xiang, Yunjun Wang, Hongtao Lu, Jiajun Du, Qin Yu, Duanshu Li, Xiaochun Wan, Bo Ping, Ben Ma and Long Chen and has published in prestigious journals such as Journal of Clinical Oncology, Frontiers in Immunology and Cell Reports.

In The Last Decade

Qing Guan

44 papers receiving 1.1k citations

Hit Papers

HIF-1α drives resistance to ferroptosis in solid tumors b... 2023 2026 2024 2025 2023 40 80 120

Peers

Qing Guan
Comparison fields: 5 of 126
  • Molecular Biology 272
  • Surgery 243
  • Endocrinology, Diabetes and Metabolism 243
  • Oncology 234
  • Radiology, Nuclear Medicine and Imaging 211
Replace Jun Xiang with:
Jun Xiang China
Giuseppe Palermo Italy
Neil Sharma United Kingdom
Xiaoli Sun China
Annika Blank Switzerland
Lijuan Niu China
Duanshu Li China
Jiajun Du China
Laurine Verset Belgium
Georgios Z. Papadakis United States
Jun Xiang China View profile →
Citations per field, relative to Qing Guan
Qing Guan · 1×
Citations per year, relative to Qing Guan
Qing Guan · 1×

Countries citing papers authored by Qing Guan

Since Specialization
Citations

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

Fields of papers citing papers by Qing Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Guan. A scholar is included among the top collaborators of Qing Guan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qing Guan. Qing Guan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 8
3 1
4 1
5 2
6 43
7 3
8 26
9 42
10 16
11 191
12 60
13 3
14 65
15 12
16
Lateral cervical lymph node mapping in papillary thyroid carcinoma: a prospective cohort study
1
17 46
18 14
19 9
20 30

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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