Mark Brandt

5.2k citations
87 papers · 2.9k · h-index 28

Impact in

  • Hematology top 0.2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 1%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 67
    • Chronic Myeloid Leukemia Treatments 21
    • Multiple Myeloma Research and Treatments 13
    • Histone Deacetylase Inhibitors Research 11
    • Protein Degradation and Inhibitors 8

Mark Brandt

83 papers receiving 2.9k citations

Peers

Mark Brandt
Comparison fields: 5 of 107
  • Hematology 1.9k
  • Genetics 725
  • Public Health, Environmental and Occupational Health 635
  • Pathology and Forensic Medicine 337
  • Oncology 503
Replace G Harrison with:
G Harrison United Kingdom
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Citations per field
00.5×3.5×
G Harrison · 1×
Citations per year

Countries citing papers authored by Mark Brandt

Since Specialization
Citations

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

Fields of papers citing papers by Mark Brandt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006371
2 2010282
3 2015216
4 2003172
5 2012157
6 2008143
7 2012125
8 2014105
9 200999
10 200885
11 201182
12 201074
13 201671
14 201465
15 201662
16 201658
17 201451
18 201345
19 200642
20 200940

About Mark Brandt

Mark Brandt is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Public Health, Environmental and Occupational Health, having authored 87 papers that have together received 2.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (67 papers), Chronic Myeloid Leukemia Treatments (21 papers), Acute Lymphoblastic Leukemia research (13 papers), Multiple Myeloma Research and Treatments (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers), Chronic Lymphocytic Leukemia Research (12 papers), Histone Deacetylase Inhibitors Research (11 papers) and Protein Degradation and Inhibitors (8 papers). The work is most often cited by research in Hematology (1.9k citations), Genetics (725 citations), Public Health, Environmental and Occupational Health (635 citations), Pathology and Forensic Medicine (337 citations) and Oncology (503 citations). Mark Brandt has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Hagop M. Kantarjian, Guillermo Garcia‐Manero, Jörge E. Cortes, Farhad Ravandi, Sherry Pierce, Gautam Borthakur, Stefan Faderl, Susan O’Brien, Michael J. Keating and Tapan M. Kadia. Their work appears in journals such as Blood, Journal of Clinical Oncology, American Journal of Hematology, Cancer and British Journal of Haematology.

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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