Daniel J. Craig

435 citations
13 papers · 207 · h-index 8

Impact in

    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cancer Genomics and Diagnostics

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • CAR-T cell therapy research 3
    • Pancreatic and Hepatic Oncology Research 1
    • Cutaneous Melanoma Detection and Management 1
    • Lung Cancer Treatments and Mutations 4

Daniel J. Craig

13 papers receiving 206 citations

Peers

Daniel J. Craig
Comparison fields: 5 of 50
  • Oncology 86
  • Cancer Research 31
  • Immunology 45
  • Pulmonary and Respiratory Medicine 45
  • Obstetrics and Gynecology 10
Replace Christoforos Vaxevanis with:
Christoforos Vaxevanis Germany
Giulia Buzzatti Italy
Sara E. Martin del Campo United States
Camilo Garcia France
Michel Eisenblaetter Germany
Connor Lynch United States
Ruth Gabriela Herrera Gómez France
Elia Colin France
Audrey E. Kam United States
Daniel J. Craig relative to Christoforos Vaxevanis Germany Christoforos Vaxevanis's profile →
Citations per field
00.5×1.5×
Christoforos Vaxevanis · 1×
Citations per year

Countries citing papers authored by Daniel J. Craig

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Craig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Craig. 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 Daniel J. Craig. The network helps show where Daniel J. Craig may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202190
2 202324
3 202023
4 202419
5 202111
6 20229
7 20228
8 20198
9 20245
10 20234
11 20204
12 20181
13 20251

About Daniel J. Craig

Daniel J. Craig is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Immunology and Molecular Biology, having authored 13 papers that have together received 207 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Lung Cancer Treatments and Mutations (4 papers), Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (3 papers), Pancreatic and Hepatic Oncology Research (1 paper), Advanced Radiotherapy Techniques (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Oncology (86 citations), Cancer Research (31 citations), Immunology (45 citations), Pulmonary and Respiratory Medicine (45 citations) and Obstetrics and Gynecology (10 citations). Daniel J. Craig has collaborated with scholars based in United States and Australia. Frequent co-authors include Laura Stanbery, John Nemunaitis, Danae Hamouda, Lance D. Dworkin, Gerald M. Edelman, Monika Devanaboyina, Andrew T. Campbell, Justin F. Creeden, Cassidy Gillman and James C. Willey. Their work appears in journals such as BMC Cancer, Future Oncology, Vaccines, Frontiers in Oncology and Journal of Clinical Medicine.

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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