R. Gitendra Wickremasinghe

2.0k total citations
54 papers, 1.7k citations indexed

About

R. Gitendra Wickremasinghe is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, R. Gitendra Wickremasinghe has authored 54 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 13 papers in Oncology and 12 papers in Genetics. Recurrent topics in R. Gitendra Wickremasinghe's work include Chronic Lymphocytic Leukemia Research (12 papers), Cell death mechanisms and regulation (12 papers) and Retinoids in leukemia and cellular processes (10 papers). R. Gitendra Wickremasinghe is often cited by papers focused on Chronic Lymphocytic Leukemia Research (12 papers), Cell death mechanisms and regulation (12 papers) and Retinoids in leukemia and cellular processes (10 papers). R. Gitendra Wickremasinghe collaborates with scholars based in United Kingdom, United States and Sweden. R. Gitendra Wickremasinghe's co-authors include A. V. Hoffbrand, A. Victor Hoffbrand, Panayiotis Panayiotidis, Atul Mehta, Nicola Borthwick, Margarita Bofill, Arne N. Akbar, John C. Reed, Darrell Pilling and Mike Salmon and has published in prestigious journals such as Blood, The Journal of Immunology and Cancer Research.

In The Last Decade

R. Gitendra Wickremasinghe

54 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Gitendra Wickremasinghe United Kingdom 24 918 695 353 282 195 54 1.7k
Nick Carpino United States 22 1.2k 1.3× 807 1.2× 383 1.1× 321 1.1× 328 1.7× 38 2.0k
Andrew Craxton United States 25 1.1k 1.2× 1.0k 1.5× 313 0.9× 226 0.8× 108 0.6× 34 2.3k
Runqing Lu United States 23 759 0.8× 797 1.1× 444 1.3× 206 0.7× 193 1.0× 36 2.0k
Marie‐Françoise Bourgeade France 23 722 0.8× 474 0.7× 379 1.1× 116 0.4× 231 1.2× 46 1.5k
Michal Shahar Israel 7 590 0.6× 976 1.4× 684 1.9× 171 0.6× 150 0.8× 13 1.8k
David Segal Australia 21 1.0k 1.1× 464 0.7× 429 1.2× 316 1.1× 467 2.4× 38 1.9k
R. Rowley United States 20 976 1.1× 726 1.0× 339 1.0× 163 0.6× 120 0.6× 37 1.8k
Peta A. Tilbrook Australia 21 737 0.8× 484 0.7× 402 1.1× 176 0.6× 261 1.3× 31 1.5k
Harry W. Findley United States 23 1.1k 1.1× 447 0.6× 634 1.8× 91 0.3× 237 1.2× 54 1.8k
James R. Zucali United States 19 593 0.6× 447 0.6× 470 1.3× 93 0.3× 259 1.3× 42 1.5k

Countries citing papers authored by R. Gitendra Wickremasinghe

Since Specialization
Citations

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

Fields of papers citing papers by R. Gitendra Wickremasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Gitendra Wickremasinghe. 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 R. Gitendra Wickremasinghe. The network helps show where R. Gitendra Wickremasinghe may publish in the future.

Co-authorship network of co-authors of R. Gitendra Wickremasinghe

This figure shows the co-authorship network connecting the top 25 collaborators of R. Gitendra Wickremasinghe. A scholar is included among the top collaborators of R. Gitendra Wickremasinghe 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 R. Gitendra Wickremasinghe. R. Gitendra Wickremasinghe 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.
Wickremasinghe, R. Gitendra, A. G. Prentice, & Andrew J. Steele. (2011). Aberrantly activated anti‐apoptotic signalling mechanisms in chronic lymphocytic leukaemia cells: clues to the identification of novel therapeutic targets. British Journal of Haematology. 153(5). 545–556. 16 indexed citations
2.
North, Janet, Chloë Marden, R. Malayeri, et al.. (2005). Ligation of CD8α on human natural killer cells prevents activation‐induced apoptosis and enhances cytolytic activity. Immunology. 116(3). 354–361. 87 indexed citations
3.
4.
Wickremasinghe, R. Gitendra, K. Ganeshaguru, Dylan T. Jones, et al.. (2001). Autologous plasma activates Akt/protein kinase B and enhances basal survival and resistance to DNA damage‐induced apoptosis in B‐chronic lymphocytic leukaemia cells. British Journal of Haematology. 114(3). 608–615. 32 indexed citations
5.
Bravery, Christopher A., Jackie Lewin, Dale Owens, et al.. (1999). Ceramide-induced killing of normal and malignant human lymphocytes is by a non-apoptotic mechanism. Oncogene. 18(15). 2499–2506. 34 indexed citations
6.
Bravery, Christopher A., Nicola Borthwick, Arne N. Akbar, et al.. (1998). Herbimycin A accelerates the induction of apoptosis following etoposide treatment or γ-irradiation of bcr/abl-positive leukaemia cells. Oncogene. 16(12). 1533–1542. 29 indexed citations
7.
10.
Hoffbrand, A. V., et al.. (1995). Defects in Signal Transduction Pathways in Chronic B Lymphocytic Leukemia Cells. Leukemia & lymphoma. 18(1-2). 163–170. 11 indexed citations
11.
Hoffbrand, A. Victor, et al.. (1994). Regulation of transcription factors NFκB and AP‐1 following tumour necrosis factor‐α treatment of cells from chronic B cell leukaemia patients. British Journal of Haematology. 86(3). 496–504. 13 indexed citations
13.
14.
Mire‐Sluis, Anthony R., Cheryl A. Cox, A. Victor Hoffbrand, & R. Gitendra Wickremasinghe. (1989). Inhibitors of arachidonic acid lipoxygenase impair the stimulation of inositol phospholipid hydrolysis by the T lymphocyte mitogen phytohaemagglutinin. FEBS Letters. 258(1). 84–88. 7 indexed citations
15.
Mire‐Sluis, Anthony R., A. Victor Hoffbrand, & R. Gitendra Wickremasinghe. (1989). The binding of ligands to the 55 kDa component of the interleukin‐2 receptor triggers increased turnover of phosphate bound to an 85 kDa protein. FEBS Letters. 243(2). 280–284. 3 indexed citations
16.
Hall, Belinda S., A. Victor Hoffbrand, & R. Gitendra Wickremasinghe. (1987). Two major tyrosine protein kinases of resting human T lymphocytes are down‐regulated following mitotic stimulation. FEBS Letters. 223(1). 6–10. 1 indexed citations
17.
Mire‐Sluis, Anthony R., A. V. Hoffbrand, & R. Gitendra Wickremasinghe. (1987). Evidence that guanine-nucleotide binding regulatory proteins couple cell-surface receptors to the breakdown of inositol-containing lipids during T-lymphocyte mitogenesis. Biochemical and Biophysical Research Communications. 148(3). 1223–1231. 18 indexed citations
18.
Drexler, HG, MK Brenner, Elaine Coustan‐Smith, R. Gitendra Wickremasinghe, & A. Victor Hoffbrand. (1987). Synergistic action of calcium ionophore A23187 and phorbol ester TPA on B-chronic lymphocytic leukemia cells. Blood. 70(5). 1536–1542. 21 indexed citations
19.
Wickremasinghe, R. Gitendra, Anthony R. Mire‐Sluis, & A. Victor Hoffbrand. (1987). Interleukin‐2 binding to activated human T lymphocytes triggers generation of cyclic AMP but not of inositol phosphates. FEBS Letters. 220(1). 52–56. 13 indexed citations
20.
Wickremasinghe, R. Gitendra, et al.. (1986). PHYTOHEMAGGLUTININ (PHA)-STIMULATED HUMAN LYMPHOCYTES-T UNDERGO ONE ROUND OF DNA-SYNTHESIS AND CELL-DIVISION WITHOUT A REQUIREMENT FOR INTERLEUKIN-2 (IL-2). UCL Discovery (University College London). 1 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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