JL Abkowitz

973 citations
22 papers · 825 · h-index 15

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Virology top 5%
    • HIV Research and Treatment

Papers in

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

JL Abkowitz

21 papers receiving 777 citations

Peers

JL Abkowitz
Comparison fields: 5 of 64
  • Hematology 343
  • Virology 106
  • Genetics 148
  • Immunology 206
  • Genetics 239
Replace Priscilla Yam with:
Priscilla Yam United States
Daniel E. Dunn United States
A Zander Germany
Ellen G. van Lochem Netherlands
DT Scadden United States
K Nasu Japan
L Souza United States
J Maciejewski United States
J. Joseph Melenhorst United States
S Than 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 1996136
2 1995113
3 199599
4 199074
5 199171
6 199259
7 198444
8 198837
9 199132
10 199526
11 199326
12 200225
13 199220
14 199217
15 199116
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 825 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), Hematopoietic Stem Cell Transplantation (4 papers), Cancer-related gene regulation (4 papers), Herpesvirus Infections and Treatments (4 papers), RNA modifications and cancer (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hematology (343 citations), Virology (106 citations), Genetics (148 citations), Immunology (206 citations) and Genetics (239 citations). JL Abkowitz has collaborated with scholars based in United States and Germany. Frequent co-authors include KM Zsebo, Peter Guttorp, C. K. Grant, Grady H. Shelton, Richard L. Ott, Sandra N. Catlin, LG Bennett, VC Broudy, Rabi Hanna and JW Adamson. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Molecular Therapy and Journal of Clinical Investigation.

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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