Weina Chen

11.2k total citations · 2 hit papers
221 papers, 4.2k citations indexed

About

Weina Chen is a scholar working on Molecular Biology, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Weina Chen has authored 221 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 77 papers in Hematology and 47 papers in Pathology and Forensic Medicine. Recurrent topics in Weina Chen's work include Acute Myeloid Leukemia Research (61 papers), Lymphoma Diagnosis and Treatment (41 papers) and Acute Lymphoblastic Leukemia research (26 papers). Weina Chen is often cited by papers focused on Acute Myeloid Leukemia Research (61 papers), Lymphoma Diagnosis and Treatment (41 papers) and Acute Lymphoblastic Leukemia research (26 papers). Weina Chen collaborates with scholars based in United States, China and Spain. Weina Chen's co-authors include L. Jeffrey Medeiros, Tong Wu, Charles Steenbergen, Elizabeth Murphy, Kyoungsub Song, Nitin J. Karandikar, Franklin Fuda, Chang Han, Hyunjoo Kwon and Sergej Konoplev and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Weina Chen

205 papers receiving 4.1k citations

Hit Papers

Ascorbate regulates haematopoietic stem cell function and... 2017 2026 2020 2023 2017 2024 100 200 300

Peers

Weina Chen
Comparison fields: 5 of 139
  • Molecular Biology 1.7k
  • Hematology 1.1k
  • Pathology and Forensic Medicine 852
  • Oncology 801
  • Genetics 635
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Najmaldin Saki Iran
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Maria Pia Rastaldi Italy
Joaquín J. Jiménez United States
Shiyong Li United States
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Hesham M. Amin United States View profile →
Citations per field, relative to Weina Chen
Weina Chen · 1×
Citations per year, relative to Weina Chen
Weina Chen · 1×

Countries citing papers authored by Weina Chen

Since Specialization
Citations

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

Fields of papers citing papers by Weina Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weina Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Weina Chen. A scholar is included among the top collaborators of Weina Chen 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 Weina Chen. Weina Chen 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 1
3 1
4 0
5 6
6 50
7 2
8 3
9 1
10 2
11 1
12 2
13 44
14 1
15 4
16 11
17 1
18 30
19 11
20
Disease distribution and medical resources during the Beijing 2008 Olympic and Paralympic Games.
11

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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