Tongcui Ma

1.4k citations
16 papers · 421 · h-index 11

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • HIV Research and Treatment 10
    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 3

Tongcui Ma

16 papers receiving 417 citations

Peers

Tongcui Ma
Comparison fields: 5 of 66
  • Virology 73
  • Infectious Diseases 163
  • Immunology 116
  • Neurology 53
  • Molecular Biology 169
Replace Kevin Groen with:
Kevin Groen Netherlands
Sebastian Schloer Germany
Laura Tarancón‐Díez Spain
Blake Frey United States
Rajesh Sharma India
Aljawharah Alrubayyi United Kingdom
Elisabeth Braun Germany
Sushant Khanal United States
Fatima Barmania South Africa
Haifeng Song China
Tongcui Ma relative to Kevin Groen Netherlands Kevin Groen's profile →
Citations per field
00.5×4.8×
Kevin Groen · 1×
Citations per year

Countries citing papers authored by Tongcui Ma

Since Specialization
Citations

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

Fields of papers citing papers by Tongcui Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2020129
2 201656
3 201749
4 202031
5 201525
6 202122
7 202221
8 202018
9 202114
10 202113
11 201612
12 201610
13 20238
14 20176
15 20174
16 20253

About Tongcui Ma

Tongcui Ma is a scholar working on Virology, Immunology, Molecular Biology, Infectious Diseases and Oncology, having authored 16 papers that have together received 421 indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (3 papers), HIV-related health complications and treatments (2 papers), Plant Virus Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Biochemical and Structural Characterization (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Virology (73 citations), Infectious Diseases (163 citations), Immunology (116 citations), Neurology (53 citations) and Molecular Biology (169 citations). Tongcui Ma has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Nadia R. Roan, Ashley F. George, Warner C. Greene, Guorui Xie, Xiaoyu Luo, Matthew McGregor, Wen‐Zhe Ho, Jason Neidleman, Julie Frouard and Sulggi A. Lee. Their work appears in journals such as Cell Reports, eLife, Scientific Reports, Journal of Virology and The FASEB Journal.

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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