Dan Marks

3.1k citations
56 papers · 2.5k · h-index 32

Impact in

  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Hematopoietic Stem Cell Transplantation 33
    • Acute Myeloid Leukemia Research 12
    • Chronic Myeloid Leukemia Treatments 8
    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 5

Dan Marks

54 papers receiving 2.4k citations

Peers

Dan Marks
Comparison fields: 5 of 74
  • Hematology 1.6k
  • Transplantation 91
  • Genetics 320
  • Public Health, Environmental and Occupational Health 700
  • Immunology 518
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Dan Marks relative to Diane Coso France Diane Coso's profile →
Citations per field
00.5×1.5×2×
Diane Coso · 1×
Citations per year

Countries citing papers authored by Dan Marks

Since Specialization
Citations

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

Fields of papers citing papers by Dan Marks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004190
2 2002184
3 2013112
4 2015111
5 2016104
6 200894
7 200194
8 200782
9 200982
10 201375
11 201174
12 201667
13 201366
14 201265
15 199862
16 201159
17 199154
18 201353
19 201749
20 201548

About Dan Marks

Dan Marks is a scholar working on Hematology, Immunology, Oncology, Public Health, Environmental and Occupational Health and Genetics, having authored 56 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (33 papers), Acute Lymphoblastic Leukemia research (14 papers), Acute Myeloid Leukemia Research (12 papers), Immune Cell Function and Interaction (9 papers), Chronic Myeloid Leukemia Treatments (8 papers), Polyomavirus and related diseases (7 papers), T-cell and B-cell Immunology (5 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Hematology (1.6k citations), Transplantation (91 citations), Genetics (320 citations), Public Health, Environmental and Occupational Health (700 citations) and Immunology (518 citations). Dan Marks has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Richard M. Fox, Hillard Michael Lazarus, Olle T.H. Ringdén, Bronwen E. Shaw, Antonio Pagliuca, Jane Apperley, Christopher Bredeson, Adele Kay Fielding, Mary M. Horowitz and Vikas Gupta. Their work appears in journals such as Bone Marrow Transplantation, Leukemia, British Journal of Haematology, Haematologica and Blood.

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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