John A. Craddock

1.2k citations
22 papers · 1.0k · h-index 9

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
  • Immunology top 10%
    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Hematopoietic Stem Cell Transplantation 7
    • Immunodeficiency and Autoimmune Disorders 5
    • Immune Cell Function and Interaction 4

John A. Craddock

18 papers receiving 1.0k citations

Peers

John A. Craddock
Comparison fields: 5 of 49
  • Oncology 604
  • Immunology 471
  • Hematology 135
  • Genetics 319
  • Epidemiology 149
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Citations per field
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Citations per year

Countries citing papers authored by John A. Craddock

Since Specialization
Citations

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

Fields of papers citing papers by John A. Craddock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Craddock. 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 John A. Craddock. The network helps show where John A. Craddock may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010464
2 2013190
3 2018142
4 201870
5 202059
6 201233
7 201518
8 201616
9 200811
10 20236
11 20066
12 20226
13 20215
14 20223
15 20243
16 20172
17 20061
18 20081
19
On a Class of High-Girth LDPC Codes Based on Finite Multidimensional Lattices
20110
20 20250

About John A. Craddock

John A. Craddock is a scholar working on Hematology, Immunology, Oncology, Genetics and Epidemiology, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (3 papers), Error Correcting Code Techniques (3 papers), Cooperative Communication and Network Coding (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Advanced Wireless Communication Techniques (3 papers). The work is most often cited by research in Oncology (604 citations), Immunology (471 citations), Hematology (135 citations), Genetics (319 citations) and Epidemiology (149 citations). John A. Craddock has collaborated with scholars based in United States, Ireland and Australia. Frequent co-authors include Malcolm K. Brenner, Cliona M. Rooney, An Lu, Aaron Edward Foster, Adham Sean Bear, Martin Pulé, Helen Elisabeth Heslop, Robert A. Krance, Caridad A. Martinez and Kathryn S. Leung. Their work appears in journals such as Transplantation and Cellular Therapy, Blood, Bone Marrow Transplantation, Journal of Allergy and Clinical Immunology and Pediatric Blood & 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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