JL Abkowitz

973 citations
22 papers · 776 indexed · h-index 14
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation 4
    • Acute Myeloid Leukemia Research 3
  • Virology top 5%
    • HIV Research and Treatment 8
  • Genetics top 10%
    • Virus-based gene therapy research 10
  • Genetics top 10%
    • Virus-based gene therapy research 10
    • Epigenetics and DNA Methylation 5
    • RNA modifications and cancer 4
    • Cancer-related gene regulation 4
    • Herpesvirus Infections and Treatments 4

JL Abkowitz

21 papers receiving 739 citations

Peers

JL Abkowitz
Comparison fields: 5 of 62
  • Hematology 340
  • Virology 103
  • Genetics 146
  • Immunology 208
  • Genetics 243
Replace Priscilla Yam with:
Priscilla Yam United States
A Zander Germany
Ellen G. van Lochem Netherlands
DT Scadden United States
AM Levine United States
J. Joseph Melenhorst United States
J Maciejewski United States
L Souza United States
A Vlug Netherlands
FG Schuening United States
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Citations per field
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Citations per year

Countries citing papers authored by JL Abkowitz

Since Specialization
Citations

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

Fields of papers citing papers by JL Abkowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
to the ligand for c-kit Diamond-blackfan anemia: in vitro response of erythroid progenitors
20110
2 200224
3 1996134
4 199610
5 1995108
6 199590
7 199524
8 199216
9 199258
10 199219
11 199167
12 199126
13 199113
14 19912
15 19912
16 199066
17 19905
18 19886
19 198834
20 198442

About JL Abkowitz

JL Abkowitz is a scholar working on Virology, Hematology and Genetics, having authored 22 papers that have together received 776 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), HIV Research and Treatment (8 papers), Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (4 papers), Herpesvirus Infections and Treatments (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Cancer-related gene regulation (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hematology (340 citations), Virology (103 citations) and Genetics (146 citations). JL Abkowitz has collaborated with scholars based in United States and Germany. Frequent co-authors include KM Zsebo, Peter Guttorp, C. K. Grant, Sandra N. Catlin, Richard L. Ott, Grady H. Shelton, LG Bennett, VC Broudy, B Nakamoto and JT Prchal. Their work appears in journals such as Blood, Molecular Therapy, Journal of Clinical Investigation and Proceedings of the National Academy of Sciences.

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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