James Gajewski

15.1k citations
131 papers · 9.9k indexed · 3 hit papers · h-index 48

James Gajewski

130 papers receiving 9.6k citations

Hit Papers

Transplant-lite: induction of graft-versus-malignancy usi...7381993202620042015250500750

Peers

James Gajewski
Comparison fields: 5 of 119
  • Hematology 7.8k
  • Transplantation 721
  • Immunology 3.2k
  • Genetics 1.6k
  • Oncology 2.8k
Replace Paolo Anderlini with:
Paolo Anderlini United States
Thomas R. Chauncey United States
FR Appelbaum United States
Leo F. Verdonck Netherlands
K Doney United States
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Citations per field
00.5×1.5×
Paolo Anderlini · 1×
Citations per year

Countries citing papers authored by James Gajewski

Since Specialization
Citations

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

Fields of papers citing papers by James Gajewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20201
2 20174
3 201412
4 20146
5 201444
6 2013175
7 200914
8 200620
9 200414
10
Randomized comparison of frontline alternating chemotherapy versus brief induction followed by autologous stem cell transplant for aggressive lymphomas
20032
11 200137
12 200034
13 1999144
14 199718
15 199687
16 199630
17 199530
18 199256
19
Retention of graft-versus-leukemia using selective depletion of CD8-positive T lymphocytes for prevention of graft-versus-host disease following bone marrow transplantation for chronic myelogenous leukemia.
199132
20 198996

About James Gajewski

James Gajewski is a scholar working on Hematology, Transplantation and Oncology, having authored 131 papers that have together received 9.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (85 papers), Acute Myeloid Leukemia Research (30 papers), Acute Lymphoblastic Leukemia research (24 papers), Polyomavirus and related diseases (18 papers), Renal Transplantation Outcomes and Treatments (14 papers), Lymphoma Diagnosis and Treatment (14 papers), Immune Cell Function and Interaction (12 papers) and T-cell and B-cell Immunology (12 papers). The work is most often cited by research in Hematology (7.8k citations), Transplantation (721 citations) and Immunology (3.2k citations). James Gajewski has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Richard E. Champlin, Sergio Giralt, Issa F. Khouri, Börje S. Andersson, Paolo Anderlini, Donna Przepiorka, David F. Claxton, Naoto T. Ueno, Koen van Besien and Michèle L. Donato. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation, Journal of Clinical Oncology and Cancer.

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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