Nan Qin

4.2k citations
120 papers · 2.5k indexed · h-index 30

Impact in

Papers in

Nan Qin

115 papers receiving 2.5k citations

Peers

Nan Qin
Comparison fields: 5 of 121
  • Cancer Research 743
  • Endocrinology, Diabetes and Metabolism 474
  • Pharmacology 197
  • Molecular Biology 1.2k
  • Nephrology 116
Replace Lijun Xu with:
Lijun Xu China
Guang Liang China
Xufeng Tao China
Ahmed Bettaieb United States
Yingqun Zhou China
Ji-Young Cha South Korea
Anping Chen United States
Lutfi Abu-Elheiga United States
Shuyi Si China
Nan Qin relative to Lijun Xu China Lijun Xu's profile →
Citations per field
00.5×1.6×
Lijun Xu · 1×
Citations per year

Countries citing papers authored by Nan Qin

Since Specialization
Citations

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

Fields of papers citing papers by Nan Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20245
4 20243
5 20238
6 20236
7 20230
8 202215
9 20227
10 20218
11 202048
12 20193
13 201929
14 201998
15
Idiosyncratic hepatotoxicity evaluation of Cortex dictamni based on immune stress.
20194
16
[Down-regulation of sphingosine kinase 1 (SphK1) enhances the chemosensitivity to cisplatin in human colon cancer RKO cells].
20174
17 201723
18 201564
19 201344
20 19620

About Nan Qin

Nan Qin is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism, Molecular Biology, Pharmacology and Pharmacology, having authored 120 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (15 papers), Adrenal and Paraganglionic Tumors (12 papers), Metabolism, Diabetes, and Cancer (9 papers), Natural Antidiabetic Agents Studies (7 papers), Hormonal Regulation and Hypertension (7 papers), Inflammasome and immune disorders (7 papers), Pituitary Gland Disorders and Treatments (5 papers) and Histone Deacetylase Inhibitors Research (5 papers). The work is most often cited by research in Cancer Research (743 citations), Endocrinology, Diabetes and Metabolism (474 citations), Pharmacology (197 citations), Molecular Biology (1.2k citations) and Nephrology (116 citations). Nan Qin has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Graeme Eisenhofer, Hong‐Quan Duan, Karel Pacák, Mei‐Na Jin, Jacques W.M. Lenders, Stefan R. Bornstein, Liwei Sun, Henri Timmers, Xiaohe Xiao and Xiaolin Xu. Their work appears in journals such as European Journal of Medicinal Chemistry, Molecules, Fitoterapia, Acta Pharmaceutica Sinica B and Bioorganic Chemistry.

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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