Barbara Spitzer

3.9k citations
42 papers · 511 · h-index 10

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 18
    • Hematopoietic Stem Cell Transplantation 14
    • Genomics and Chromatin Dynamics 4
    • RNA Research and Splicing 3

Barbara Spitzer

35 papers receiving 506 citations

Peers

Barbara Spitzer
Comparison fields: 5 of 38
  • Hematology 271
  • Genetics 73
  • Cancer Research 58
  • Molecular Biology 269
  • Immunology 50
Replace Nahoko Nishimoto with:
Nahoko Nishimoto Japan
Junji Koya Japan
Vaia Stavropoulou Switzerland
Yakun Pang United States
Kim-Hien T. Dao United States
Annet Z. Brouwers-Vos Netherlands
Tanja Hinrichsen Germany
Carl Sandén Sweden
Paul H. Miller Canada
Ana Valencia Spain
Barbara Spitzer relative to Nahoko Nishimoto Japan Nahoko Nishimoto's profile →
Citations per field
00.5×5.8×
Nahoko Nishimoto · 1×
Citations per year

Countries citing papers authored by Barbara Spitzer

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Spitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014166
2 2015117
3 202039
4 201524
5 202318
6 202016
7 201515
8 202114
9 202110
10 201610
11 20129
12 20178
13 20237
14 20236
15 20226
16 20225
17 20235
18 20244
19 20204
20 20233

About Barbara Spitzer

Barbara Spitzer is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Epidemiology, having authored 42 papers that have together received 511 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (18 papers), Hematopoietic Stem Cell Transplantation (14 papers), CAR-T cell therapy research (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Genomics and Chromatin Dynamics (4 papers), Cancer Genomics and Diagnostics (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Hematology (271 citations), Genetics (73 citations), Cancer Research (58 citations), Molecular Biology (269 citations) and Immunology (50 citations). Barbara Spitzer has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Ross L. Levine, Swapna Thota, Aaron D. Viny, Jaroslaw P. Maciejewski, Hideki Makishima, Mikkael A. Sekeres, Tomas Radivoyevitch, Bartlomiej Przychodzen, Farid Boulad and Susan E. Prockop. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Blood Advances, Pediatric Blood & Cancer and Transplantation and Cellular Therapy.

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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