Hanbin Li

35 papers receiving 530 citations

Peers

Hanbin Li
Comparison fields: 5 of 103
  • Parasitology 70
  • Radiology, Nuclear Medicine and Imaging 119
  • Oncology 136
  • Health, Toxicology and Mutagenesis 55
  • Infectious Diseases 58
Replace Carlos Cuello with:
Carlos Cuello Colombia
Honglin Jiang China
Basudev Bhattacharya India
Engin Altıntaşž Türkiye
Xiaoke Hao China
Seung‐Joon Lee South Korea
Karin Cederbrant Sweden
Amy O’Brien-Ladner United States
Harry N. Hoffman United States
Anjana Singh India
Hanbin Li relative to Carlos Cuello Colombia Carlos Cuello's profile →
Citations per field
00.5×10.4×
Carlos Cuello · 1×
Citations per year

Countries citing papers authored by Hanbin Li

Since Specialization
Citations

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

Fields of papers citing papers by Hanbin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199960
2 201559
3 201449
4 201535
5 200132
6 202231
7 201129
8 201828
9 201827
10 201223
11 201923
12 200120
13 201717
14 199915
15 202414
16 200112
17 201711
18 201910
19 20139
20 20198

About Hanbin Li

Hanbin Li is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 37 papers that have together received 557 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Parasitic Infections and Diagnostics (5 papers), Peptidase Inhibition and Analysis (4 papers), Hepatitis C virus research (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Parasitology (70 citations), Radiology, Nuclear Medicine and Imaging (119 citations), Oncology (136 citations), Health, Toxicology and Mutagenesis (55 citations) and Infectious Diseases (58 citations). Hanbin Li has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Gordon R. Finch, Miodrag Belosevic, Lyndon L. Gyürék, Angelica Quartino, Bert L. Lum, Daniel W. Smith, Amit Garg, Russell Wada, Jin Y. Jin and Jing Li. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, The Journal of Clinical Pharmacology, Journal of Environmental Engineering, Clinical Pharmacokinetics and Oncotarget.

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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