Jiahang Mo

415 citations
15 papers · 255 · h-index 10

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Inflammatory Biomarkers in Disease Prognosis
    • PARP inhibition in cancer therapy
    • Lung Cancer Research Studies
    • Immune cells in cancer

Papers in

Jiahang Mo

15 papers receiving 254 citations

Peers

Jiahang Mo
Comparison fields: 5 of 66
  • Oncology 122
  • Immunology 50
  • Pulmonary and Respiratory Medicine 70
  • Reproductive Medicine 18
  • Cancer Research 32
Replace Xianglei Wu with:
Xianglei Wu China
Pooya Farhangnia Iran
Dimitris Matthaios Greece
Chieh‐Hsiang Yang United States
Eva Závadová Czechia
Camila Morais Melo Brazil
Libin Jin China
Venus Onay United States
Wendy W. Barclay United States
Margaret Redpath Canada
Jiahang Mo relative to Xianglei Wu China Xianglei Wu's profile →
Citations per field
00.5×4.5×
Xianglei Wu · 1×
Citations per year

Countries citing papers authored by Jiahang Mo

Since Specialization
Citations

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

Fields of papers citing papers by Jiahang Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202057
2 201933
3 202232
4 202024
5 202222
6 202016
7 202015
8 202014
9 202314
10 202311
11 20236
12 20244
13 20243
14 20233
15 20231

About Jiahang Mo

Jiahang Mo is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Immunology, Molecular Biology and Cell Biology, having authored 15 papers that have together received 255 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), PARP inhibition in cancer therapy (3 papers), Immune cells in cancer (3 papers), Phagocytosis and Immune Regulation (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Ferroptosis and cancer prognosis (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Radio Frequency Integrated Circuit Design (1 paper). The work is most often cited by research in Oncology (122 citations), Immunology (50 citations), Pulmonary and Respiratory Medicine (70 citations), Reproductive Medicine (18 citations) and Cancer Research (32 citations). Jiahang Mo has collaborated with scholars based in China and Australia. Frequent co-authors include Lihu Gu, Bangsheng Chen, Parikshit Asutosh Khadaroo, Tong Chen, Zefeng Shen, Xiao Hu, Lei Dong, Nannan Du, Min Shen and Huihui Yu. Their work appears in journals such as World Journal of Surgical Oncology, Frontiers in Cellular and Infection Microbiology, Phytotherapy Research, Cell Death and Disease and BMC 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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