David Kind

1.9k citations
5 papers · 155 indexed · h-index 4

Impact in

    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Phagocytosis and Immune Regulation
    • Cancer Immunotherapy and Biomarkers

Papers in

    • HIV Research and Treatment 1
    • Immune cells in cancer 2
    • IL-33, ST2, and ILC Pathways 1

David Kind

5 papers receiving 153 citations

Peers

David Kind
Comparison fields: 5 of 63
  • Immunology 65
  • Oncology 32
  • Molecular Biology 76
  • Cancer Research 15
  • Pulmonary and Respiratory Medicine 26
Replace Kerem Ben‐Meir with:
Kerem Ben‐Meir Israel
Mithunah Krishnamoorthy Canada
Beiying Dai China
Alessia Zotta Italy
Alessio Bevilacqua Switzerland
Sheri A. C. McDowell Canada
Shuqiang Li United States
Katharina Urban Germany
Arman Öner Germany
Sean-Luc Shanahan United States
David Kind relative to Kerem Ben‐Meir Israel Kerem Ben‐Meir's profile →
Citations per field
00.5×1.5×2.4×
Kerem Ben‐Meir · 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

5 of 5 papers shown
#Work
1 201969
2 202262
3 202417
4 20225
5 19872

About David Kind

David Kind is a scholar working on Virology, Immunology, Infectious Diseases, Molecular Biology and Epidemiology, having authored 5 papers that have together received 155 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), CRISPR and Genetic Engineering (2 papers), Extracellular vesicles in disease (2 papers), Immune cells in cancer (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), HIV Research and Treatment (1 paper), IL-33, ST2, and ILC Pathways (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Immunology (65 citations), Oncology (32 citations), Molecular Biology (76 citations), Cancer Research (15 citations) and Pulmonary and Respiratory Medicine (26 citations). David Kind has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Coralie Viollet, Christian T. Wohnhaas, Florian Gantner, Patrick Baum, Germán Leparc, Francesc Fernández-Albert, Tobias Hildebrandt, Karim C. El Kasmi, Fidel Ramírez and Madhura Modak. Their work appears in journals such as Scientific Reports, SLAS TECHNOLOGY, JCI Insight, Infection and Frontiers in Immunology.

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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