GM Crooks

1.3k citations
12 papers · 1.1k indexed · h-index 8

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Virus-based gene therapy research
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 6
    • Acute Myeloid Leukemia Research 1
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 2
    • Immunodeficiency and Autoimmune Disorders 2
    • T-cell and B-cell Immunology 2

GM Crooks

12 papers receiving 1.0k citations

Peers

GM Crooks
Comparison fields: 5 of 51
  • Hematology 611
  • Genetics 228
  • Immunology 410
  • Genetics 269
  • Oncology 217
Replace DM Bodine with:
DM Bodine United States
C Baum Germany
Christie M. Traycoff United States
Ruth Seggewiss Germany
Libuse Jerabek United States
S Grigsby United States
MR Loken United States
SH Bartelmez United States
T Leemhuis United States
Johanne D. Cashman Canada
GM Crooks relative to DM Bodine United States DM Bodine's profile →
Citations per field
00.5×1.5×
DM Bodine · 1×
Citations per year

Countries citing papers authored by GM Crooks

Since Specialization
Citations

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

Fields of papers citing papers by GM Crooks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 20042
2 199940
3
Hematopoietic stem cell transplantation for primary lymphoid immunodeficiencies.
199811
4
Differentiation of human CD34+CD38- cord blood stem cells into B cell progenitors in vitro.
199748
5 1996222
6 1996199
7 19956
8 1995376
9 199552
10 1993100
11 19935
12 19915

About GM Crooks

GM Crooks is a scholar working on Hematology, Immunology, Clinical Biochemistry, Oncology and Genetics, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Virus-based gene therapy research (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), T-cell and B-cell Immunology (2 papers), Acute Myeloid Leukemia Research (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Hematology (611 citations), Genetics (228 citations), Immunology (410 citations), Genetics (269 citations) and Oncology (217 citations). GM Crooks has collaborated with scholars based in United States and Australia. Frequent co-authors include Donald B. Kohn, Charles Hannum, Denise Petersen, Flávia Torreão Thiemann, David J. Rawlings, Qingqin Hao, Shuo Quan, Owen N. Witte, Monika Smogorzewska and Janice Arakawa‐Hoyt. Their work appears in journals such as Blood, Bone Marrow Transplantation, Journal of Pediatric Hematology/Oncology, Cancer treatment and research and PubMed.

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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