David Kind

2.0k citations
6 papers · 1.4k · 1 hit paper · h-index 5

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immune cells in cancer 3
    • Immune Cell Function and Interaction 2
    • HIV Research and Treatment 1

David Kind

6 papers receiving 1.4k citations

David Kind's Hit Papers

Landscape and Dynamics of Single Immune Cells in Hepatocellular Carcinoma 2019 · 1.2k citations
1.2k0+2+4Years since publication2505007501000

Peers

David Kind
Comparison fields: 5 of 90
  • Immunology 585
  • Oncology 431
  • Cancer Research 215
  • Hepatology 81
  • Molecular Biology 522
Replace Madhura Modak with:
Madhura Modak Austria
Yanjie Han China
Mengmeng Xiao China
Weihua Zhu China
Guojie Zhong United States
Qichao Yu China
Xiaoqing Jiang China
Rujuan Bao China
Maria Olga Hernandez United States
Yu Lou China
David Kind relative to Madhura Modak Austria Madhura Modak's profile →
Citations per field
00.5×1.5×
Madhura Modak · 1×
Citations per year

Countries citing papers authored by David Kind

Since Specialization
Citations

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

Fields of papers citing papers by David Kind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown

About David Kind

David Kind is a scholar working on Immunology, Virology, Molecular Biology, Infectious Diseases and Oncology, having authored 6 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune cells in cancer (3 papers), CRISPR and Genetic Engineering (2 papers), Extracellular vesicles in disease (2 papers), Single-cell and spatial transcriptomics (2 papers), Immune Cell Function and Interaction (2 papers), HIV/AIDS Research and Interventions (1 paper), HIV Research and Treatment (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Immunology (585 citations), Oncology (431 citations), Cancer Research (215 citations), Hepatology (81 citations) and Molecular Biology (522 citations). David Kind has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Coralie Viollet, Florian Gantner, Christian T. Wohnhaas, Germán Leparc, Patrick Baum, Francesc Fernández-Albert, Tobias Hildebrandt, Fidel Ramírez, Wioletta Skrońska-Wąsek and Karim Christian El Kasmi. Their work appears in journals such as Cell, Frontiers in Immunology, Infection, JCI Insight and Scientific Reports.

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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