JL Abkowitz

973 citations
22 papers · 776 · h-index 14

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Virology top 5%
    • HIV Research and Treatment

Papers in

    • Epigenetics and DNA Methylation 5
    • RNA modifications and cancer 4
    • Cancer-related gene regulation 4
    • Virus-based gene therapy research 10

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-authors

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

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996134
2 1995108
3 199590
4 199167
5 199066
6 199258
7 198442
8 198834
9 199126
10 199325
11 200224
12 199524
13 199219
14 199216
15 199113
16 199610
17 19886
18 19905
19 19925
20 19912

About JL Abkowitz

JL Abkowitz is a scholar working on Molecular Biology, Genetics, Virology, Hematology and Epidemiology, 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), Cancer-related gene regulation (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Herpesvirus Infections and Treatments (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hematology (340 citations), Virology (103 citations), Genetics (146 citations), Immunology (208 citations) and Genetics (243 citations). JL Abkowitz has collaborated with scholars based in United States and Germany. Frequent co-authors include KM Zsebo, Peter Guttorp, C. K. Grant, LG Bennett, Grady H. Shelton, Sandra N. Catlin, Richard L. Ott, VC Broudy, JT Prchal and Kenneth Brasel. 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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