Long Yuan

2.4k total citations
56 papers, 1.7k citations indexed

About

Long Yuan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Long Yuan has authored 56 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Long Yuan's work include Cancer Immunotherapy and Biomarkers (9 papers), Melanoma and MAPK Pathways (5 papers) and Immune Cell Function and Interaction (5 papers). Long Yuan is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Melanoma and MAPK Pathways (5 papers) and Immune Cell Function and Interaction (5 papers). Long Yuan collaborates with scholars based in China, United States and Norway. Long Yuan's co-authors include Rosalin Mishra, Joan T. Garrett, Samar Alanazi, Hima Patel, Gordon J. Freeman, Kathleen M. Mahoney, Benling Xu, Peng Zhao, Xin Xie and Gang Pei and has published in prestigious journals such as PLoS ONE, Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Long Yuan

51 papers receiving 1.7k citations

Peers

Long Yuan
Comparison fields: 5 of 112
  • Molecular Biology 849
  • Oncology 640
  • Immunology 378
  • Cancer Research 261
  • Surgery 190
Replace Kathleen D. Whitney with:
Kathleen D. Whitney United States
Jafar Karami Iran
Yoshiro Itatani Japan
Shu‐Fen Chiang Taiwan
Li Ren Kong China
Simona Ruggieri Italy
Yongdong Feng China
Prakash Radhakrishnan United States
Kosuke Watari Japan
Silvestre Vicent Spain
Kathleen D. Whitney United States View profile →
Citations per field, relative to Long Yuan
Long Yuan · 1×
Citations per year, relative to Long Yuan
Long Yuan · 1×

Countries citing papers authored by Long Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Long Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Long Yuan. A scholar is included among the top collaborators of Long Yuan 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 Long Yuan. Long Yuan 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 0
2 13
3 4
4 56
5 9
6 22
7 55
8 11
9 43
10 34
11 152
12 6
13 3
14 37
15 23
16 0
17 19
18 73
19 165
20
Effects of compound Red-rooted Salvia and aspirin on platelet aggregation and PKB activity in the elderly patients with ACS
1

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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