Susan E. Prockop

6.5k citations
175 papers · 2.7k indexed · h-index 26

Impact in

  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation
  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • Hematopoietic Stem Cell Transplantation 63
    • Viral-associated cancers and disorders 40
    • CAR-T cell therapy research 29
    • Polyomavirus and related diseases 27

Susan E. Prockop

162 papers receiving 2.7k citations

Peers

Susan E. Prockop
Comparison fields: 5 of 90
  • Hematology 793
  • Immunology 1.0k
  • Genetics 493
  • Oncology 1.0k
  • Transplantation 66
Replace Mauro Di Ianni with:
Mauro Di Ianni Italy
Anita Schmitt Germany
Izhar Hardan Israel
Carolyn A. Keever-Taylor United States
Caridad Martinez United States
Peter Bader Germany
Paul Szabolcs United States
Nancy F. Hensel United States
Bart Vandekerckhove Belgium
Tai‐Gyu Kim South Korea
Susan E. Prockop relative to Mauro Di Ianni Italy Mauro Di Ianni's profile →
Citations per field
00.5×1.5×2.2×
Mauro Di Ianni · 1×
Citations per year

Countries citing papers authored by Susan E. Prockop

Since Specialization
Citations

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

Fields of papers citing papers by Susan E. Prockop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan E. Prockop. 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 Susan E. Prockop. The network helps show where Susan E. Prockop may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20244
5 20248
6 20244
7 202317
8 202310
9 20231
10 20232
11 20228
12 20228
13 20211
14 202112
15 20218
16 20201
17 20186
18 20171
19 20171
20 2010163

About Susan E. Prockop

Susan E. Prockop is a scholar working on Hematology, Oncology, Genetics, Transplantation and Immunology, having authored 175 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (63 papers), Cytomegalovirus and herpesvirus research (44 papers), Viral-associated cancers and disorders (40 papers), CAR-T cell therapy research (29 papers), Polyomavirus and related diseases (27 papers), Lymphoma Diagnosis and Treatment (25 papers), Immune Cell Function and Interaction (21 papers) and Virus-based gene therapy research (20 papers). The work is most often cited by research in Hematology (793 citations), Immunology (1.0k citations), Genetics (493 citations), Oncology (1.0k citations) and Transplantation (66 citations). Susan E. Prockop has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Howard T. Petrie, Richard J. O’Reilly, Evan Lind, Guenther Koehne, Farid Boulad, Nancy A. Kernan, Aisha Hasan, Jason Plotkin, Ana Paula Lepique and Ekaterina Doubrovina. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Cytotherapy, Transplantation and Cellular Therapy and Bone Marrow Transplantation.

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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