Jinxian Wu

478 total citations · 1 hit paper
16 papers, 249 citations indexed

About

Jinxian Wu is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Jinxian Wu has authored 16 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Hematology and 5 papers in Immunology. Recurrent topics in Jinxian Wu's work include Acute Myeloid Leukemia Research (5 papers), Immune cells in cancer (3 papers) and Cardiac tumors and thrombi (2 papers). Jinxian Wu is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Immune cells in cancer (3 papers) and Cardiac tumors and thrombi (2 papers). Jinxian Wu collaborates with scholars based in China and United States. Jinxian Wu's co-authors include Fuling Zhou, Linlu Ma, Nan Zhang, Yuxing Liang, Ping Chen, Xiaoyan Liu, Xinqi Li, Fang Liu, Yingying Song and Qingqing Song and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Cancer Letters.

In The Last Decade

Jinxian Wu

14 papers receiving 247 citations

Hit Papers

Global burden of hematologic malignancies and evolution p... 2023 2026 2024 2025 2023 50 100 150

Peers

Jinxian Wu
Comparison fields: 5 of 78
  • Oncology 77
  • Molecular Biology 63
  • Hematology 49
  • Public Health, Environmental and Occupational Health 38
  • Pediatrics, Perinatology and Child Health 31
Replace Rehan M. Faridi with:
Rehan M. Faridi India
A. M. Testi Italy
William W. Terry United States
Bruna Ribeiro de Andrade Ramos Brazil
Yoo Jin Lee South Korea
Olivier Maillard France
Rohini R. Nair India
Mariarita Sciumé Italy
Jérémie Rouger France
Amanda S. Evans United States
Rehan M. Faridi India View profile →
Citations per field, relative to Jinxian Wu
Jinxian Wu · 1×
Citations per year, relative to Jinxian Wu
Jinxian Wu · 1×

Countries citing papers authored by Jinxian Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jinxian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinxian Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinxian Wu. A scholar is included among the top collaborators of Jinxian Wu 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 Jinxian Wu. Jinxian Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 1
3 12
4 6
5 1
6
Global burden of hematologic malignancies and evolution patterns over the past 30 years breakdown →
168
7 0
8 1
9 2
10 2
11 12
12 30
13 4
14 7
15 2
16 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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