Jun Mo

1.4k citations
26 papers · 505 · h-index 10

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

Jun Mo

21 papers receiving 496 citations

Peers

Jun Mo
Comparison fields: 5 of 56
  • Hematology 167
  • Immunology 118
  • Genetics 45
  • Cell Biology 68
  • Molecular Biology 223
Replace Simone S. Riedel with:
Simone S. Riedel United States
Tiphaine Bouriez‐Jones United Kingdom
Takahiko Yasuda Japan
Sheryl M. Gough United States
Hélia Neves Portugal
Katie L. Kathrein United States
Ann Friedman United States
Munetake Shimabe Japan
Farshid Radparvar United States
Tatjana Kilo Australia
Jun Mo relative to Simone S. Riedel United States Simone S. Riedel's profile →
Citations per field
00.5×1.5×2.1×
Simone S. Riedel · 1×
Citations per year

Countries citing papers authored by Jun Mo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007153
2 200771
3 201043
4 201142
5 201341
6 200638
7 201734
8 201822
9 201319
10 200613
11 20167
12 20104
13 20064
14 20154
15 20232
16 20242
17 20242
18 20231
19 20241
20 20061

About Jun Mo

Jun Mo is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Hematology, Molecular Biology and Pathology and Forensic Medicine, having authored 26 papers that have together received 505 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Tumors and Oncological Cases (3 papers), Immune Cell Function and Interaction (3 papers), Sarcoma Diagnosis and Treatment (2 papers), T-cell and B-cell Immunology (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Teratomas and Epidermoid Cysts (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (167 citations), Immunology (118 citations), Genetics (45 citations), Cell Biology (68 citations) and Molecular Biology (223 citations). Jun Mo has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Yi Zheng, Linda Yang, José A. Cancelas, Hartmut Geiger, Lei Wang, Teresa A. Smolarek, David A. Williams, Stella M. Davies, Yang He and Parinda A. Mehta. Their work appears in journals such as American Journal of Clinical Pathology, Pediatric Blood & Cancer, British Journal of Haematology, Blood and Journal of Craniofacial Surgery.

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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