Weiping Deng

6.4k total citations · 1 hit paper
98 papers, 2.2k citations indexed

About

Weiping Deng is a scholar working on Infectious Diseases, Molecular Biology and Plant Science. According to data from OpenAlex, Weiping Deng has authored 98 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Infectious Diseases, 20 papers in Molecular Biology and 16 papers in Plant Science. Recurrent topics in Weiping Deng's work include SARS-CoV-2 and COVID-19 Research (16 papers), Chronic Myeloid Leukemia Treatments (9 papers) and Chronic Lymphocytic Leukemia Research (8 papers). Weiping Deng is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (16 papers), Chronic Myeloid Leukemia Treatments (9 papers) and Chronic Lymphocytic Leukemia Research (8 papers). Weiping Deng collaborates with scholars based in China, United States and Germany. Weiping Deng's co-authors include Andreas Hochhaus, Giuseppe Saglio, Hans D. Menssen, Philipp D. le Coutre, Xuefeng Jiang, Daming Zeng, Timothy P. Hughes, Richard A. Larson, Hagop M. Kantarjian and Richard E. Clark and has published in prestigious journals such as JAMA, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Weiping Deng

90 papers receiving 2.2k citations

Hit Papers

Long-term benefits and risks of frontline nilotinib vs im... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers

Weiping Deng
Comparison fields: 5 of 130
  • Hematology 926
  • Genetics 745
  • Rheumatology 451
  • Molecular Biology 428
  • Epidemiology 269
Replace Katsuya Ikuta with:
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Martin E. Dowty United States
Hiroyuki Kuroda Japan
James P. Kushner United States
David Loury United States
John Galivan United States
Ivana De Domenico United States
Yi‐Chang Liu Taiwan
H Riedel Germany
Thomas T. Kawabata United States
Katsuya Ikuta Japan View profile →
Citations per field, relative to Weiping Deng
Weiping Deng · 1×
Citations per year, relative to Weiping Deng
Weiping Deng · 1×

Countries citing papers authored by Weiping Deng

Since Specialization
Citations

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

Fields of papers citing papers by Weiping Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiping Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Weiping Deng. A scholar is included among the top collaborators of Weiping Deng 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 Weiping Deng. Weiping Deng 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 1
2 5
3 0
4 6
5 6
6 1
7 15
8 1
9 4
10 80
11 7
12 0
13 0
14 2
15 16
16 104
17
Long-term benefits and risks of frontline nilotinib vs imatinib for chronic myeloid leukemia in chronic phase: 5-year update of the randomized ENESTnd trial breakdown →
563
18 17
19 1
20 8

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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