Robert Lowsky

4.4k citations
91 papers · 1.9k · h-index 20

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Organ and Tissue Transplantation Research
  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Hematopoietic Stem Cell Transplantation 60
    • Acute Myeloid Leukemia Research 11
    • Multiple Myeloma Research and Treatments 10
    • Immune Cell Function and Interaction 20
    • T-cell and B-cell Immunology 19

Robert Lowsky

86 papers receiving 1.9k citations

Peers

Robert Lowsky
Comparison fields: 5 of 77
  • Transplantation 579
  • Hematology 1.0k
  • Immunology 1.0k
  • Genetics 181
  • Oncology 434
Replace Michael J. Clemente with:
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RA Nash United States
Ted Gooley United States
Ginna G. Laport United States
A Marmont Italy
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Robert Lowsky relative to Michael J. Clemente United States Michael J. Clemente's profile →
Citations per field
00.5×2.5×
Michael J. Clemente · 1×
Citations per year

Countries citing papers authored by Robert Lowsky

Since Specialization
Citations

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

Fields of papers citing papers by Robert Lowsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008379
2 2005241
3 2015136
4 2012126
5 2009125
6 2011112
7 201284
8 201050
9 200450
10 202041
11 201535
12 201134
13 200533
14 200432
15 201829
16 201824
17 202024
18 199720
19 201120
20 200119

About Robert Lowsky

Robert Lowsky is a scholar working on Hematology, Immunology, Oncology, Transplantation and Genetics, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (60 papers), Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (19 papers), Renal Transplantation Outcomes and Treatments (19 papers), Acute Myeloid Leukemia Research (11 papers), Multiple Myeloma Research and Treatments (10 papers), Lymphoma Diagnosis and Treatment (9 papers) and CAR-T cell therapy research (9 papers). The work is most often cited by research in Transplantation (579 citations), Hematology (1.0k citations), Immunology (1.0k citations), Genetics (181 citations) and Oncology (434 citations). Robert Lowsky has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Judith A. Shizuru, Samuel Strober, Richard T. Hoppe, Sussan Dejbakhsh‐Jones, John D. Scandling, Robert S. Negrin, Stéphan Busque, Edgar G. Engleman, Laura Johnston and Ginna G. Laport. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation, Journal of Clinical Oncology and 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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