Tal Freund

571 citations
13 papers · 307 · h-index 7

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Immunodeficiency and Autoimmune Disorders
    • Immunotherapy and Immune Responses

Papers in

    • Immunodeficiency and Autoimmune Disorders 4
    • Immunotherapy and Immune Responses 3
    • SARS-CoV-2 and COVID-19 Research 6

Tal Freund

13 papers receiving 303 citations

Peers

Tal Freund
Comparison fields: 5 of 35
  • Infectious Diseases 169
  • Immunology 106
  • Oncology 77
  • Health 20
  • Hematology 23
Replace Line Dam Heftdal with:
Line Dam Heftdal Denmark
Inbar Levi Israel
Giulia Baresi Italy
Karolis Šablauskas Lithuania
Kissy Guevara‐Hoyer Spain
Simon Eschweiler United States
Benjamin R. Weeder United States
Cássia Gisele Terrassani Silveira Brazil
Alan D. Curtis United States
Kening Li China
Tal Freund relative to Line Dam Heftdal Denmark Line Dam Heftdal's profile →
Citations per field
00.5×2×3×3.8×
Line Dam Heftdal · 1×
Citations per year

Countries citing papers authored by Tal Freund

Since Specialization
Citations

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

Fields of papers citing papers by Tal Freund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2021121
2 202195
3 202029
4 202218
5 20209
6 20227
7 20227
8 20206
9 20225
10 20225
11 20233
12 20241
13 20221

About Tal Freund

Tal Freund is a scholar working on Immunology, Infectious Diseases, Oncology, Pathology and Forensic Medicine and Hematology, having authored 13 papers that have together received 307 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (3 papers), Genomics and Rare Diseases (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Infectious Diseases (169 citations), Immunology (106 citations), Oncology (77 citations), Health (20 citations) and Hematology (23 citations). Tal Freund has collaborated with scholars based in Israel and United States. Frequent co-authors include David Hagin, Inbar Levi, Tami Halperin, Shira Benor, Yifat Alcalay, Natalia T. Freund, Yael Bar‐On, Odelia Amit, Ron Ram and Sigi Kay. Their work appears in journals such as Frontiers in Immunology, Open Forum Infectious Diseases, Journal of Clinical Immunology, Transplantation and Cellular Therapy and Clinical & Experimental 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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