Ran Wei

856 citations
32 papers · 680 · h-index 14

Impact in

Papers in

Ran Wei

32 papers receiving 666 citations

Peers

Ran Wei
Comparison fields: 5 of 76
  • Internal Medicine 51
  • Biological Psychiatry 17
  • Cancer Research 114
  • Immunology 161
  • Hematology 60
Replace Bianca E Suur with:
Bianca E Suur Sweden
David Xing-Fei Deng United States
Shogo Tamura Japan
Dace Ruklisa United Kingdom
O.P. Ilyinskaya Russia
Hina Sarwath Qatar
Panagiota Giardoglou Greece
Radu A. Popp Romania
Alexandre Hego Belgium
Queenie Lai Kwan Lam Hong Kong
Ran Wei relative to Bianca E Suur Sweden Bianca E Suur's profile →
Citations per field
00.5×5×10×12.8×
Bianca E Suur · 1×
Citations per year

Countries citing papers authored by Ran Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ran Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019105
2 201960
3 202051
4 202049
5 202045
6 202144
7 201542
8 201827
9 202225
10
Elevated plasma tissue-type plasminogen activator (t-PA) and soluble thrombomodulin in patients suffering from severe acute respiratory syndrome (SARS) as a possible index for prognosis and treatment strategy.
200524
11 201719
12 201918
13 202018
14 201616
15 201814
16 202014
17 202213
18 201612
19 201812
20 202112

About Ran Wei

Ran Wei is a scholar working on Immunology, Cancer Research, Hematology, Genetics and Biological Psychiatry, having authored 32 papers that have together received 680 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (8 papers), MicroRNA in disease regulation (7 papers), Acute Myeloid Leukemia Research (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Immune cells in cancer (2 papers), Inflammasome and immune disorders (2 papers), Pancreatic function and diabetes (1 paper) and Bone Metabolism and Diseases (1 paper). The work is most often cited by research in Internal Medicine (51 citations), Biological Psychiatry (17 citations), Cancer Research (114 citations), Immunology (161 citations) and Hematology (60 citations). Ran Wei has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Xiaoxiao Zhu, Qiang Guo, Lin Zhao, Bin Wang, Xunqiang Yin, Xia Li, Shangwen Sun, Qiang Guo, Zhen Zhang and Nannan Lai. Their work appears in journals such as Medicine, Behavioural Brain Research, Arteriosclerosis Thrombosis and Vascular Biology, International Journal of Oncology and International Journal of Legal Medicine.

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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