Bo Ma

3.1k citations
86 papers · 2.3k · h-index 24

Impact in

    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Melanoma and MAPK Pathways 5
    • RNA modifications and cancer 5
    • Cancer Cells and Metastasis 11
    • Cancer Immunotherapy and Biomarkers 7

Bo Ma

81 papers receiving 2.2k citations

Peers

Bo Ma
Comparison fields: 5 of 110
  • Cancer Research 554
  • Oncology 772
  • Pulmonary and Respiratory Medicine 551
  • Parasitology 113
  • Molecular Biology 1.0k
Replace Naoya Sakamoto with:
Naoya Sakamoto Japan
William McCulloch United States
Hernán Carol United States
Xing Huang China
Feng Xie China
C. Marcela Díaz‐Montero United States
Duane H. Hamilton United States
Romain Remark France
Jorge Lima Portugal
Mihai Gagea United States
Bo Ma relative to Naoya Sakamoto Japan Naoya Sakamoto's profile →
Citations per field
00.5×1.5×2.2×
Naoya Sakamoto · 1×
Citations per year

Countries citing papers authored by Bo Ma

Since Specialization
Citations

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

Fields of papers citing papers by Bo Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016336
2 2013168
3 2019139
4 2013134
5 1992119
6 2016104
7 201376
8 201875
9 201475
10 202074
11 201772
12 201665
13 201562
14 201246
15 202039
16 201438
17 201936
18 201631
19 201730
20 202028

About Bo Ma

Bo Ma is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pulmonary and Respiratory Medicine, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (11 papers), Cancer Immunotherapy and Biomarkers (7 papers), Cancer-related molecular mechanisms research (6 papers), Bladder and Urothelial Cancer Treatments (5 papers), Melanoma and MAPK Pathways (5 papers), Ferroptosis and cancer prognosis (5 papers), RNA modifications and cancer (5 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Cancer Research (554 citations), Oncology (772 citations), Pulmonary and Respiratory Medicine (551 citations), Parasitology (113 citations) and Molecular Biology (1.0k citations). Bo Ma has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Alan Wells, Amanda M. Clark, Lushun Yuan, Ye Tian, Rui Cao, Gang Wang, Sarah Wheeler, Jelena Grahovac, Douglas A. Lauffenburger and Carmen Vigo‐Pelfrey. Their work appears in journals such as Journal of Clinical Oncology, Clinical & Translational Oncology, International Journal of Oncology, Journal of Cellular and Molecular Medicine and British Journal of Cancer.

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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