Jinyong Wang

2.5k citations
84 papers · 1.2k · h-index 18

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Pluripotent Stem Cells Research 7
    • CRISPR and Genetic Engineering 6
    • Epigenetics and DNA Methylation 5
    • Acute Myeloid Leukemia Research 12
    • Hematopoietic Stem Cell Transplantation 8

Jinyong Wang

79 papers receiving 1.2k citations

Peers

Jinyong Wang
Comparison fields: 5 of 110
  • Hematology 354
  • Genetics 144
  • Immunology 264
  • Molecular Biology 575
  • Cancer Research 103
Replace Sachiko Kanaji with:
Sachiko Kanaji United States
Hans G. Drexler Germany
Amit Grover India
Chang Kyu Oh United States
John F. DeCoteau Canada
İlyas Şahin United States
Michael A. Sheard United States
Camille Ettelaie United Kingdom
Arnaud Bonnefoy Canada
Lu Cui China
Jinyong Wang relative to Sachiko Kanaji United States Sachiko Kanaji's profile →
Citations per field
00.5×3.8×
Sachiko Kanaji · 1×
Citations per year

Countries citing papers authored by Jinyong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jinyong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012142
2 2019100
3 201081
4 201169
5 202068
6 202364
7 202247
8 201341
9 201439
10 200530
11 201628
12 202328
13 201627
14 202227
15 201526
16 201324
17 200923
18 201722
19 201617
20 200915

About Jinyong Wang

Jinyong Wang is a scholar working on Molecular Biology, Hematology, Immunology, Oncology and Animal Science and Zoology, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Immune Cell Function and Interaction (9 papers), Hematopoietic Stem Cell Transplantation (8 papers), CAR-T cell therapy research (8 papers), Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (6 papers), Epigenetics and DNA Methylation (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Hematology (354 citations), Genetics (144 citations), Immunology (264 citations), Molecular Biology (575 citations) and Cancer Research (103 citations). Jinyong Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jing Zhang, Yangang Liu, Juan Du, Myung‐Jeom Ryu, Erik A. Ranheim, Weidong Sun, Ken H. Young, Guangyao Kong, Zeyang Li and Sündüz Keleş. Their work appears in journals such as Cell Proliferation, Journal of Biological Chemistry, Blood, Research in Veterinary Science and Cell Cycle.

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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