C D Gregory

6.4k total citations · 4 hit papers
27 papers, 5.3k citations indexed

About

C D Gregory is a scholar working on Immunology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, C D Gregory has authored 27 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 9 papers in Pathology and Forensic Medicine and 8 papers in Oncology. Recurrent topics in C D Gregory's work include Lymphoma Diagnosis and Treatment (9 papers), Viral-associated cancers and disorders (8 papers) and Immune Cell Function and Interaction (7 papers). C D Gregory is often cited by papers focused on Lymphoma Diagnosis and Treatment (9 papers), Viral-associated cancers and disorders (8 papers) and Immune Cell Function and Interaction (7 papers). C D Gregory collaborates with scholars based in United Kingdom, United States and India. C D Gregory's co-authors include Alan B. Rickinson, Ian Dransfield, Chris Haslett, John Savill, Martin Rowe, Elliott Kieff, S. A. Henderson, Debbie Croom-Carter, Richard Longnecker and Fred Wang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

C D Gregory

27 papers receiving 5.1k citations

Hit Papers

A blast from the past: clearance of apoptotic cells regul... 1990 2026 2002 2014 2002 1991 2003 1990 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C D Gregory United Kingdom 22 2.3k 2.0k 1.4k 1.3k 647 27 5.3k
Norio Shimizu Japan 45 2.8k 1.2× 1.9k 0.9× 1.6k 1.2× 1.4k 1.1× 325 0.5× 201 6.8k
Deborah Luxenberg United States 16 1.1k 0.5× 3.5k 1.7× 488 0.4× 1.4k 1.1× 508 0.8× 20 6.1k
Yasuaki Harabuchi Japan 42 2.8k 1.2× 2.3k 1.2× 1.7k 1.2× 964 0.8× 459 0.7× 336 5.8k
Pierre Busson France 43 3.7k 1.6× 1.9k 0.9× 1.1k 0.8× 2.4k 1.9× 628 1.0× 124 6.4k
Jag Bhawan United States 42 1.6k 0.7× 593 0.3× 869 0.6× 1.2k 0.9× 398 0.6× 261 6.6k
A H Kang United States 51 1.5k 0.7× 2.1k 1.0× 548 0.4× 2.7k 2.1× 366 0.6× 109 10.6k
Hartmut Merz Germany 26 1.0k 0.4× 1.7k 0.8× 981 0.7× 1.3k 1.1× 194 0.3× 119 4.4k
Haruo Ohtani Japan 44 3.7k 1.6× 3.5k 1.7× 560 0.4× 2.0k 1.6× 410 0.6× 161 8.2k
Michel Perricaudet France 64 3.1k 1.4× 1.8k 0.9× 595 0.4× 7.9k 6.3× 442 0.7× 173 13.4k
Marjolein van Egmond Netherlands 45 1.4k 0.6× 3.5k 1.7× 263 0.2× 1.8k 1.4× 290 0.4× 126 6.8k

Countries citing papers authored by C D Gregory

Since Specialization
Citations

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

Fields of papers citing papers by C D Gregory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C D Gregory. 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 C D Gregory. The network helps show where C D Gregory may publish in the future.

Co-authorship network of co-authors of C D Gregory

This figure shows the co-authorship network connecting the top 25 collaborators of C D Gregory. A scholar is included among the top collaborators of C D Gregory based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C D Gregory. C D Gregory is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fürnrohr, Barbara G., Christina Janko, Luis E. Muñoz, et al.. (2014). Loading of nuclear autoantigens prototypically recognized by systemic lupus erythematosus sera into late apoptotic vesicles requires intact microtubules and myosin light chain kinase activity. Clinical & Experimental Immunology. 179(1). 39–49. 31 indexed citations
2.
Xu, Tao, et al.. (2003). Inkjet printing for high-throughput cell patterning. Biomaterials. 25(17). 3707–3715. 521 indexed citations breakdown →
3.
Savill, John, Ian Dransfield, C D Gregory, & Chris Haslett. (2002). A blast from the past: clearance of apoptotic cells regulates immune responses. Nature reviews. Immunology. 2(12). 965–975. 1276 indexed citations breakdown →
5.
Gregory, C D. (1999). Non-Inflammatory/Anti-Inflammatory CD14 Responses: CD14 in Apoptosis. PubMed. 74. 122–140. 11 indexed citations
6.
Pound, John D., Michelle J. Holder, Steven Dower, et al.. (1999). Minimal cross-linking and epitope requirements for CD40-dependent suppression of apoptosis contrast with those for promotion of the cell cycle and homotypic adhesions in human B cells. International Immunology. 11(1). 11–20. 57 indexed citations
7.
Gregory, C D & Andrew Devitt. (1999). CD14 and apoptosis. APOPTOSIS. 4(1). 11–20. 36 indexed citations
9.
Grand, Roger J.A., et al.. (1996). Repression of apoptosis in human B-lymphoma cells by CD40-ligand and Bcl-2: relationship to the cell-cycle and role of the retinoblastoma protein.. PubMed. 13(2). 373–9. 63 indexed citations
10.
Singh, Rabinder, et al.. (1994). Cell death in bioreactors: A role for apoptosis. Biotechnology and Bioengineering. 44(6). 720–726. 179 indexed citations
11.
Fisher, Thomas C., Anne E. Milner, C D Gregory, et al.. (1993). bcl-2 modulation of apoptosis induced by anticancer drugs: resistance to thymidylate stress is independent of classical resistance pathways.. PubMed. 53(14). 3321–6. 206 indexed citations
12.
Henderson, S. A., Martin Rowe, C D Gregory, et al.. (1991). Induction of bcl-2 expression by epstein-barr virus latent membrane protein 1 protects infected B cells from programmed cell death. Cell. 65(7). 1107–1115. 1016 indexed citations breakdown →
13.
Sample, Jeffery T., Lucy Brooks, Clare E. Sample, et al.. (1991). Restricted Epstein-Barr virus protein expression in Burkitt lymphoma is due to a different Epstein-Barr nuclear antigen 1 transcriptional initiation site.. Proceedings of the National Academy of Sciences. 88(14). 6343–6347. 135 indexed citations
14.
Gregory, C D, Martin Rowe, & Alan B. Rickinson. (1990). Different Epstein--Barr virus--B cell interactions in phenotypically distinct clones of a Burkitt's lymphoma cell line. Journal of General Virology. 71(7). 1481–1495. 288 indexed citations
15.
Gregory, C D, et al.. (1987). Cytotoxic activity and phenotypic analysis of natural killer cells in early normal human pregnancy. Journal of Reproductive Immunology. 12(1). 35–47. 26 indexed citations
16.
Gregory, C D, Thomas Tursz, C. Edwards, et al.. (1987). Identification of a subset of normal B cells with a Burkitt's lymphoma (BL)-like phenotype.. The Journal of Immunology. 139(1). 313–318. 180 indexed citations
17.
Gregory, C D, et al.. (1987). Phenotypic heterogeneity and recycling capacity of natural killer cells in normal human pregnancy. Journal of Reproductive Immunology. 11(2). 135–145. 25 indexed citations
18.
Finerty, S., Martin Rowe, P J Berry, et al.. (1986). Burkitt-like lymphoma in an English child: Characterisation of tumour biopsy cells and of the derived tumour cell line. British Journal of Cancer. 54(3). 385–391. 5 indexed citations
19.
Gregory, C D, et al.. (1985). Cytotoxic reactivity of human natural killer (NK) cells during normal pregnancy: a longitudinal study.. PubMed. 18(4). 175–81. 36 indexed citations
20.
Gregory, C D & Martin E. Atkinson. (1984). Large agranular lymphocytes: early non-specific effector cells in allograft rejection in the mouse.. PubMed. 53(2). 257–65. 7 indexed citations

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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