A Katz

2.4k citations
31 papers · 1.9k indexed · h-index 19

Impact in

  • Hematology top 0.5%
    • Platelet Disorders and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Blood groups and transfusion
    • Acute Myeloid Leukemia Research
  • Genetics top 2%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Platelet Disorders and Treatments 15
    • Hematopoietic Stem Cell Transplantation 11
    • Blood groups and transfusion 4
    • Acute Myeloid Leukemia Research 3
    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 3

A Katz

31 papers receiving 1.9k citations

Peers

A Katz
Comparison fields: 5 of 75
  • Hematology 1.3k
  • Genetics 498
  • Immunology 513
  • Immunology and Allergy 99
  • Cell Biology 219
Replace E Bruno with:
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A Katz relative to E Bruno United States E Bruno's profile →
Citations per field
00.5×1.5×
E Bruno · 1×
Citations per year

Countries citing papers authored by A Katz

Since Specialization
Citations

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

Fields of papers citing papers by A Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 199981
2 19991
3 19977
4 1996168
5 1996198
6 199525
7 199429
8 1993236
9 1993166
10 199313
11
c-jun and c-fos are expressed by human megakaryocytes.
199214
12 1992132
13 19927
14 199160
15
Developmental changes in human megakaryocyte ploidy.
199159
16 199111
17
Expression of interleukin 6 and its specific receptor by untreated and PMA-stimulated human erythroid and megakaryocytic cell lines.
199129
18 19902
19 198823
20 19646

About A Katz

A Katz is a scholar working on Hematology, Immunology, Genetics, Gastroenterology and Immunology and Allergy, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (15 papers), Hematopoietic Stem Cell Transplantation (11 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Blood groups and transfusion (4 papers), Acute Myeloid Leukemia Research (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Hematology (1.3k citations), Genetics (498 citations), Immunology (513 citations), Immunology and Allergy (99 citations) and Cell Biology (219 citations). A Katz has collaborated with scholars based in France and United States. Frequent co-authors include William Vainchenker, Najet Debili, Laure Coulombel, J Breton-Gorius, Laure Croisille, C Issaad, Jean-Baptiste Guichard, J Guichard, JM Masse and Fabrice Wendling. Their work appears in journals such as Blood, Clinical & Experimental Immunology, JNCI Journal of the National Cancer Institute, The International Journal Of Cell Cloning and PubMed.

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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