Tami Katz

508 citations
11 papers · 216 · h-index 7

Impact in

    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Hematopoietic Stem Cell Transplantation 3
    • Multiple Myeloma Research and Treatments 3
    • Chronic Lymphocytic Leukemia Research 4

Tami Katz

10 papers receiving 210 citations

Peers

Tami Katz
Comparison fields: 5 of 46
  • Hematology 49
  • Immunology 89
  • Genetics 29
  • Oncology 71
  • Molecular Biology 119
Replace Juliane S. Stickel with:
Juliane S. Stickel Germany
Baptiste Louveau France
W.R. Gerritsen United States
Anne Murray United States
Juan Carlos Balandrán Mexico
Fieke W. Hoff United States
Rika Kato Japan
Risa Miyashita Japan
Kaya Zhu United States
Paul Shafer United States
Tami Katz relative to Juliane S. Stickel Germany Juliane S. Stickel's profile →
Citations per field
00.5×1.5×
Juliane S. Stickel · 1×
Citations per year

Countries citing papers authored by Tami Katz

Since Specialization
Citations

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

Fields of papers citing papers by Tami Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2010103
2 201849
3 200326
4 200713
5 20078
6 20188
7 20166
8 20161
9 20141
10 20161
11 20220

About Tami Katz

Tami Katz is a scholar working on Hematology, Genetics, Immunology, Molecular Biology and Pathology and Forensic Medicine, having authored 11 papers that have together received 216 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Multiple Myeloma Research and Treatments (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers), Peptidase Inhibition and Analysis (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Hematology (49 citations), Immunology (89 citations), Genetics (29 citations), Oncology (71 citations) and Molecular Biology (119 citations). Tami Katz has collaborated with scholars based in Israel. Frequent co-authors include Irit Avivi, Michal Bassani‐Sternberg, Ilan Beer, Arie Admon, Eilon Barnea, Anat Aharon, Benjamin Brenner, Jacob M. Rowe, Meir Lahav and Judith Radnay. Their work appears in journals such as Blood, British Journal of Haematology, Infection Control and Hospital Epidemiology, European Journal Of Haematology and Cancer Immunology Immunotherapy.

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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