Ke Geng

835 citations
15 papers · 530 · h-index 11

Impact in

  • Immunology top 10%
    • Phagocytosis and Immune Regulation
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Phagocytosis and Immune Regulation 8
    • Immune Cell Function and Interaction 3
    • Immune cells in cancer 2
    • Erythrocyte Function and Pathophysiology 4

Ke Geng

14 papers receiving 528 citations

Peers

Ke Geng
Comparison fields: 5 of 61
  • Immunology 393
  • Oncology 139
  • Physiology 80
  • Infectious Diseases 40
  • Molecular Biology 143
Replace Kristen M. Jacobsen with:
Kristen M. Jacobsen United States
Serena Lofftus United States
Diana C. Contreras United States
Julia Lopatnikova Russia
Reiko Kamijima Japan
Andreas Kislat Germany
Eui‐Young So United States
Matthew T. Hardison United States
Savithri Balasubramanian United States
Ke Geng relative to Kristen M. Jacobsen United States Kristen M. Jacobsen's profile →
Citations per field
00.5×1.5×1.9×
Kristen M. Jacobsen · 1×
Citations per year

Countries citing papers authored by Ke Geng

Since Specialization
Citations

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

Fields of papers citing papers by Ke Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2017105
2 201993
3 201769
4 202061
5 201456
6 201740
7 201625
8 202224
9 202121
10 202015
11 199812
12 20205
13 20242
14 20212
15 20250

About Ke Geng

Ke Geng is a scholar working on Immunology, Physiology, Infectious Diseases, Molecular Biology and Oncology, having authored 15 papers that have together received 530 indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (8 papers), Erythrocyte Function and Pathophysiology (4 papers), Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), COVID-19 Clinical Research Studies (2 papers), Immune cells in cancer (2 papers), Autophagy in Disease and Therapy (2 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (1 paper). The work is most often cited by research in Immunology (393 citations), Oncology (139 citations), Physiology (80 citations), Infectious Diseases (40 citations) and Molecular Biology (143 citations). Ke Geng has collaborated with scholars based in United States, China and Slovakia. Frequent co-authors include Raymond B. Birge, Canan Kasikara, Sushil Kumar, Sergei V. Kotenko, Viralkumar Davra, Stanley Kimani, Ganapathy Sriram, Mariana S. De Lorenzo, Thomas Spires and Michael Wichroski. Their work appears in journals such as Cancer Research, Molecular Cancer Research, Frontiers in Immunology, The Journal of Immunology and Ecological Indicators.

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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