Bin Jiang

1.5k citations
61 papers · 663 · h-index 16

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Lung Cancer Research Studies
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Pancreatic and Hepatic Oncology Research 17
    • Lung Cancer Research Studies 4
    • Pancreatitis Pathology and Treatment 5

Bin Jiang

56 papers receiving 658 citations

Peers

Bin Jiang
Comparison fields: 5 of 87
  • Genetics 113
  • Oncology 282
  • Cancer Research 99
  • Hepatology 43
  • Epidemiology 147
Replace Toshiyuki Kitaori with:
Toshiyuki Kitaori Japan
Hui‐Sheng Ai China
Zenan Yuan China
Sina Naserian France
Lucinda Tam United States
Raghavan Chinnadurai United States
Ilse Molendijk Netherlands
Shunsuke Sawada Japan
Nhan Lu-Chinh Phan Vietnam
Pietro Leocata Italy
Bin Jiang relative to Toshiyuki Kitaori Japan Toshiyuki Kitaori's profile →
Citations per field
00.5×4.2×
Toshiyuki Kitaori · 1×
Citations per year

Countries citing papers authored by Bin Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201553
2 202144
3 201943
4 201941
5 201637
6 201835
7 201531
8 201629
9 200729
10 201725
11 201925
12 201824
13 202024
14 201622
15 202120
16 201818
17 202115
18 201210
19 20239
20 20209

About Bin Jiang

Bin Jiang is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Molecular Biology, having authored 61 papers that have together received 663 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (17 papers), Mesenchymal stem cell research (6 papers), Neuroendocrine Tumor Research Advances (6 papers), Pancreatitis Pathology and Treatment (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Cancer Genomics and Diagnostics (4 papers), Neuroblastoma Research and Treatments (4 papers) and Lung Cancer Research Studies (4 papers). The work is most often cited by research in Genetics (113 citations), Oncology (282 citations), Cancer Research (99 citations), Hepatology (43 citations) and Epidemiology (147 citations). Bin Jiang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Lianyuan Tao, Dianrong Xiu, Chunhui Yuan, Zhaolai Ma, Chunhui Yuan, Ren‐He Xu, Enqin Li, Zhenwu Zhang, Ming Tao and Hangyan Wang. Their work appears in journals such as Medicine, Theranostics, Cancer Biology & Therapy, World Journal of Surgical Oncology and Cancer Management and Research.

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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