Alison J. Sinclair

3.2k citations
66 papers · 2.8k · h-index 28

Impact in

Papers in

Alison J. Sinclair

65 papers receiving 2.7k citations

Peers

Alison J. Sinclair
Comparison fields: 5 of 113
  • Oncology 1.4k
  • Pathology and Forensic Medicine 447
  • Physiology 572
  • Immunology 446
  • Epidemiology 573
Replace Jean-Philippe Stéphan with:
Jean-Philippe Stéphan United States
Karen A. Cadwallader United Kingdom
Hsing‐Jien Kung United States
Christine A. Cartwright United States
Takaaki Sato Japan
Eric G. Marcusson United States
Rémi Fagard France
Rupert Öllinger Germany
Eriko Uchida Japan
Jeremy A. Daniel United States
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Citations per field
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Citations per year

Countries citing papers authored by Alison J. Sinclair

Since Specialization
Citations

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

Fields of papers citing papers by Alison J. Sinclair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987435
2 1989350
3 1994251
4 1991110
5 2012104
6 199595
7 199090
8
Cyclins D1 and D2 are differentially expressed in human B-lymphoid cell lines.
199382
9 200380
10 201376
11 201055
12 201154
13 199350
14 199545
15 199544
16 199843
17
The normal cell cycle activation program is exploited during the infection of quiescent B lymphocytes by Epstein-Barr virus.
199542
18 201140
19
Epstein-Barr virus exploits the normal cell pathway to regulate Rb activity during the immortalisation of primary B-cells.
199640
20 200939

About Alison J. Sinclair

Alison J. Sinclair is a scholar working on Oncology, Pathology and Forensic Medicine, Epidemiology, Immunology and Molecular Biology, having authored 66 papers that have together received 2.8k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (43 papers), Cytomegalovirus and herpesvirus research (18 papers), Lymphoma Diagnosis and Treatment (14 papers), Immune Cell Function and Interaction (9 papers), Cancer-related Molecular Pathways (8 papers), Plant Virus Research Studies (6 papers), Polyomavirus and related diseases (6 papers) and Cell death mechanisms and regulation (5 papers). The work is most often cited by research in Oncology (1.4k citations), Pathology and Forensic Medicine (447 citations), Physiology (572 citations), Immunology (446 citations) and Epidemiology (573 citations). Alison J. Sinclair has collaborated with scholars based in United Kingdom, Belgium and Germany. Frequent co-authors include Paul J. Farrell, Renata I. Lonigro, Donato Civitareale, Roberto Di Lauro, Ignacio Palmero, Godefridus J. Peters, Daniel A. Kirschner, Hideyo Inouye, Lawrence Kevin Duffy and Michael Lind. Their work appears in journals such as Journal of Virology, Journal of General Virology, The EMBO Journal, Virology and PLoS ONE.

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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