Alan M. Gewirtz

10.8k citations
158 papers · 7.8k indexed · h-index 46
  • Hematology top 0.2%
    • Platelet Disorders and Treatments 27
    • Acute Myeloid Leukemia Research 25
    • Chronic Myeloid Leukemia Treatments 16
    • Hematopoietic Stem Cell Transplantation 11
  • Genetics top 0.5%
    • Virus-based gene therapy research 17
    • RNA Interference and Gene Delivery 40
    • Advanced biosensing and bioanalysis techniques 29
    • DNA and Nucleic Acid Chemistry 21
  • Immunology top 2%

Alan M. Gewirtz

155 papers receiving 7.5k citations

Peers

Alan M. Gewirtz
Comparison fields: 5 of 132
  • Hematology 2.3k
  • Genetics 1.1k
  • Molecular Biology 4.6k
  • Immunology 1.2k
  • Immunology and Allergy 272
Replace Arinobu Tojo with:
Arinobu Tojo Japan
W. Michael Kuehl United States
David Dombkowski United States
Stuart H. Orkin United States
Shigetaka Asano Japan
Anne Wilson Switzerland
Bruno Calabretta United States
Nadia Carlesso United States
Denise Sheer United Kingdom
Marc A. Shuman United States
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Citations per field
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Citations per year

Countries citing papers authored by Alan M. Gewirtz

Since Specialization
Citations

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

Fields of papers citing papers by Alan M. Gewirtz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan M. Gewirtz. 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 Alan M. Gewirtz. The network helps show where Alan M. Gewirtz may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201213
2 2010114
3 200775
4 20077
5 200714
6 200775
7
Therapeutic oligonucleotides : transcriptional and translational strategies for silencing gene expression
20052
8 20054
9 20046
10 200444
11 200281
12 200252
13 199933
14 19991
15 19961
16 1995260
17 199597
18 199314
19 19908
20 19881

About Alan M. Gewirtz

Alan M. Gewirtz is a scholar working on Hematology, Genetics and Molecular Biology, having authored 158 papers that have together received 7.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (40 papers), Advanced biosensing and bioanalysis techniques (29 papers), Platelet Disorders and Treatments (27 papers), Acute Myeloid Leukemia Research (25 papers), DNA and Nucleic Acid Chemistry (21 papers), Virus-based gene therapy research (17 papers), Chronic Myeloid Leukemia Treatments (16 papers) and Hematopoietic Stem Cell Transplantation (11 papers). The work is most often cited by research in Hematology (2.3k citations), Genetics (1.1k citations) and Molecular Biology (4.6k citations). Alan M. Gewirtz has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Bruno Calabretta, Mariusz Z. Ratajczak, Deborah L. Sokol, Joanna Opalinska, Anna Kalota, Janina Ratajczak, Giovanni Anfossi, Donatella Venturelli, Stephen G. Emerson and Yuji Nakata. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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