Derek McCulloch

14 papers receiving 563 citations

Peers

Derek McCulloch
Comparison fields: 5 of 66
  • Cellular and Molecular Neuroscience 211
  • Complementary and alternative medicine 71
  • Hematology 56
  • Molecular Biology 342
  • Endocrine and Autonomic Systems 30
Replace Christopher J. MacKENZIE with:
Christopher J. MacKENZIE United Kingdom
Maria Grazia Rambotti Italy
Chunmei Yang United States
Changkyu Gu United States
R.Michael Broad United States
Michelle C. Connell United Kingdom
Yuanjian Guo United States
Torill Berg Ørstavik Norway
Kimberly L. Quinlan United States
Theresa McSorley United States
Derek McCulloch relative to Christopher J. MacKENZIE United Kingdom Christopher J. MacKENZIE's profile →
Citations per field
00.5×5×10×15×17.8×
Christopher J. MacKENZIE · 1×
Citations per year

Countries citing papers authored by Derek McCulloch

Since Specialization
Citations

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

Fields of papers citing papers by Derek McCulloch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1998196
2 2014114
3 201767
4 200146
5 200242
6 200436
7 200035
8 202020
9 200618
10 201917
11 20254
12 20243
13 20192
14 20251

About Derek McCulloch

Derek McCulloch is a scholar working on Hematology, Cellular and Molecular Neuroscience, Oncology, Immunology and Genetics, having authored 14 papers that have together received 601 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Neuropeptides and Animal Physiology (4 papers), Receptor Mechanisms and Signaling (4 papers), Multiple Myeloma Research and Treatments (3 papers), Acute Myeloid Leukemia Research (2 papers), CAR-T cell therapy research (2 papers), Chemokine receptors and signaling (2 papers) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (211 citations), Complementary and alternative medicine (71 citations), Hematology (56 citations), Molecular Biology (342 citations) and Endocrine and Autonomic Systems (30 citations). Derek McCulloch has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include E.M. Lutz, Rory Mitchell, Chris Mackenzie, Melanie S. Johnson, Christina M. Brown, Harry J. Iland, Stuart C. Sealfon, Wei Jie Zhou, Myles Fennell and George Fink. Their work appears in journals such as Annals of the New York Academy of Sciences, OncoTargets and Therapy, Biochemical Society Transactions, Molecular Pharmacology and Journal of Cardiopulmonary Rehabilitation and Prevention.

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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