Jiang Long

5.5k citations
110 papers · 3.8k · h-index 34

Impact in

  • Oncology top 1%
    • Pancreatic and Hepatic Oncology Research
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Cells and Metastasis
    • Cancer Genomics and Diagnostics

Papers in

    • Pancreatic and Hepatic Oncology Research 44
    • Cancer Cells and Metastasis 6
    • Lung Cancer Research Studies 5
    • Neuroendocrine Tumor Research Advances 19

Jiang Long

107 papers receiving 3.7k citations

Peers

Jiang Long
Comparison fields: 5 of 130
  • Oncology 1.8k
  • Cancer Research 561
  • Biomaterials 270
  • Molecular Biology 987
  • Epidemiology 404
Replace Timothy R. Donahue with:
Timothy R. Donahue United States
Deliang Fu China
Li Xiong China
Chen Liu China
Michael H. Muders Germany
Hao Xiong United States
Katherine A. Vallis United Kingdom
Gayathri R. Devi United States
Cristina R. Ferrone United States
Weiling He China
Jiang Long relative to Timothy R. Donahue United States Timothy R. Donahue's profile →
Citations per field
00.5×1.5×
Timothy R. Donahue · 1×
Citations per year

Countries citing papers authored by Jiang Long

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010247
2 2011203
3 2016140
4 2014130
5 2016130
6 2009128
7 2009124
8 2015123
9 2014106
10 2009104
11 201490
12 201683
13 201176
14 201372
15 201472
16 201470
17 200768
18 201866
19 201363
20 201459

About Jiang Long

Jiang Long is a scholar working on Oncology, Epidemiology, Molecular Biology, Cancer Research and Surgery, having authored 110 papers that have together received 3.8k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (44 papers), Neuroendocrine Tumor Research Advances (19 papers), Cancer Cells and Metastasis (6 papers), Epigenetics and DNA Methylation (6 papers), Pancreatitis Pathology and Treatment (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Lung Cancer Research Studies (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Oncology (1.8k citations), Cancer Research (561 citations), Biomaterials (270 citations), Molecular Biology (987 citations) and Epidemiology (404 citations). Jiang Long has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xianjun Yu, Jin Xu, Chen Liu, Quanxing Ni, Guopei Luo, Liang Liu, Feng Yang, Meng Guo, Kaizhou Jin and Chen Jin. Their work appears in journals such as Pancreatology, Cancer Letters, International Journal of Oncology, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer 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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