Tamar Katz

940 citations
24 papers · 700 · h-index 11

Impact in

Papers in

    • Chronic Myeloid Leukemia Treatments 3
    • Hematopoietic Stem Cell Transplantation 2
    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 2

Tamar Katz

23 papers receiving 689 citations

Peers

Tamar Katz
Comparison fields: 5 of 78
  • Hematology 79
  • Obstetrics and Gynecology 40
  • Molecular Biology 352
  • Transplantation 12
  • Cardiology and Cardiovascular Medicine 84
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Tom Le United States
Carly Selan Australia
Atsushi Fujikawa Japan
Ela Shai Israel
Anne Katrin Lampe United Kingdom
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Janice Arakawa‐Hoyt United States
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Tamar Katz

Since Specialization
Citations

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

Fields of papers citing papers by Tamar Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012273
2 2008109
3 200467
4 201251
5 201343
6
Hemostatic balance on the surface of leukemic cells: the role of tissue factor and urokinase plasminogen activator receptor.
200534
7 200925
8 200119
9 202212
10 201411
11 201211
12 201410
13 20249
14 19806
15 20125
16 20253
17 20222
18 20062
19 20202
20
[PLATELETS FUNCTION IN A DROP OF BLOOD: FLOW CYTOMETRY ANALYSIS COMPARED TO PLATELET AGGREGATION].
20192

About Tamar Katz

Tamar Katz is a scholar working on Hematology, Immunology, Molecular Biology, Genetics and Oncology, having authored 24 papers that have together received 700 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Obsessive-Compulsive Spectrum Disorders (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), T-cell and B-cell Immunology (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Hematology (79 citations), Obstetrics and Gynecology (40 citations), Molecular Biology (352 citations), Transplantation (12 citations) and Cardiology and Cardiovascular Medicine (84 citations). Tamar Katz has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Clifford J. Tabin, Randy L. Johnson, Manvendra K. Singh, José Rivera‐Feliciano, Karl Degenhardt, Jonathan A. Epstein, Irit Avivi, Dina Stroopinsky, Jacob M. Rowe and Benjamin Brenner. Their work appears in journals such as Blood, Developmental Cell, Bone Marrow Transplantation, Current Treatment Options in Psychiatry and Blood Cells Molecules and Diseases.

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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