DT Scadden

1.1k citations
18 papers · 814 indexed · h-index 10

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Blood groups and transfusion

Papers in

    • HIV Research and Treatment 4
    • Chronic Lymphocytic Leukemia Research 4
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2

DT Scadden

18 papers receiving 786 citations

Peers

DT Scadden
Comparison fields: 5 of 51
  • Virology 203
  • Hematology 337
  • Immunology 316
  • Genetics 101
  • Infectious Diseases 135
Replace M. W. Dercksen with:
M. W. Dercksen Netherlands
JL Abkowitz United States
A Zander Germany
M Courcoul France
Julien Calvo France
Suzanne Skoda‐Smith United States
Xugang Qiao United States
J. Joseph Melenhorst United States
Ellen G. van Lochem Netherlands
S J Waters United States
DT Scadden relative to M. W. Dercksen Netherlands M. W. Dercksen's profile →
Citations per field
00.5×1.5×
M. W. Dercksen · 1×
Citations per year

Countries citing papers authored by DT Scadden

Since Specialization
Citations

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

Fields of papers citing papers by DT Scadden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20221
2 20104
3 20091
4 19974
5 199647
6 1995129
7 199541
8 199451
9
Viral activity in early HIV disease.
19941
10 19945
11 199280
12 199266
13 1990104
14
Granulocyte macrophage colony stimulating factor (GM-CSF) in AIDS.
19902
15 199015
16 19907
17 1989115
18 1989141

About DT Scadden

DT Scadden is a scholar working on Virology, Genetics, Hematology, Emergency Medicine and Immunology, having authored 18 papers that have together received 814 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (5 papers), HIV Research and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Glycosylation and Glycoproteins Research (2 papers), Immune Cell Function and Interaction (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Mast cells and histamine (2 papers). The work is most often cited by research in Virology (203 citations), Hematology (337 citations), Immunology (316 citations), Genetics (101 citations) and Infectious Diseases (135 citations). DT Scadden has collaborated with scholars based in United States and South Africa. Frequent co-authors include JE Groopman, LI Zon, Hava Avraham, VC Broudy, KM Zsebo, Judith A. Abraham, Barbara F. Fuller, Masahiro Sakaguchi, Jean‐Michel Molina and Tarsem Moudgil. Their work appears in journals such as Blood, American Journal of Ophthalmology, Journal of Virus Eradication, Infectious Agents and Cancer and Clinical Lymphoma & Myeloma.

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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