Peter Clifford

8.9k total citations · 4 hit papers
122 papers, 6.9k citations indexed

About

Peter Clifford is a scholar working on Oncology, Pathology and Forensic Medicine and Otorhinolaryngology. According to data from OpenAlex, Peter Clifford has authored 122 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Oncology, 26 papers in Pathology and Forensic Medicine and 22 papers in Otorhinolaryngology. Recurrent topics in Peter Clifford's work include Viral-associated cancers and disorders (31 papers), Lymphoma Diagnosis and Treatment (24 papers) and Head and Neck Cancer Studies (18 papers). Peter Clifford is often cited by papers focused on Viral-associated cancers and disorders (31 papers), Lymphoma Diagnosis and Treatment (24 papers) and Head and Neck Cancer Studies (18 papers). Peter Clifford collaborates with scholars based in Kenya, United States and Sweden. Peter Clifford's co-authors include Werner Henle, Gertrude Henle, George Klein, George Klein, Eva Klein, Jayshree J. Nadkarni, Douglas J. Leith, Lars Santesson, Harald zur Hausen and Heinrich Schulte‐Holthausen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Peter Clifford

120 papers receiving 6.1k citations

Hit Papers

Epstein–Barr Virus in Burkitt's Lymphoma and Nasopharynge... 1968 2026 1987 2006 1970 1968 1969 1970 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Clifford Kenya 39 3.9k 1.6k 1.5k 1.5k 1.5k 122 6.9k
Ingemar Ernberg Sweden 46 4.6k 1.2× 1.6k 1.0× 1.7k 1.1× 1.7k 1.2× 1.5k 1.0× 192 7.8k
Margaret L. Gulley United States 44 4.1k 1.1× 648 0.4× 2.2k 1.5× 1.2k 0.8× 936 0.6× 161 6.3k
Riccardo Dolcetti Italy 48 4.8k 1.2× 601 0.4× 3.2k 2.1× 1.4k 0.9× 2.1k 1.4× 255 8.3k
Christian H. Ottensmeier United Kingdom 51 3.6k 0.9× 647 0.4× 725 0.5× 677 0.5× 3.5k 2.4× 223 8.2k
Pierre Brousset France 46 3.5k 0.9× 571 0.4× 3.1k 2.0× 787 0.5× 1.2k 0.8× 223 6.7k
J O McGee United Kingdom 40 1.6k 0.4× 338 0.2× 474 0.3× 1.3k 0.9× 796 0.5× 131 5.2k
Scott R. Burrows Australia 62 4.6k 1.2× 857 0.5× 1.8k 1.2× 2.8k 1.9× 7.1k 4.8× 172 10.7k
Stefan E. Pambuccian United States 35 1.7k 0.4× 374 0.2× 438 0.3× 1.1k 0.8× 721 0.5× 213 5.5k
G. Riethmüller Germany 43 3.8k 1.0× 165 0.1× 696 0.5× 777 0.5× 3.2k 2.2× 137 8.9k
Yuji Ohtsuki Japan 36 1.4k 0.3× 302 0.2× 687 0.5× 858 0.6× 1.9k 1.3× 263 5.9k

Countries citing papers authored by Peter Clifford

Since Specialization
Citations

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

Fields of papers citing papers by Peter Clifford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Clifford

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Clifford. A scholar is included among the top collaborators of Peter Clifford 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 Peter Clifford. Peter Clifford 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
2.
Acharya, Nimish K., Eli C. Levin, Peter Clifford, et al.. (2013). Diabetes and Hypercholesterolemia Increase Blood-Brain Barrier Permeability and Brain Amyloid Deposition: Beneficial Effects of the LpPLA2 Inhibitor Darapladib. Journal of Alzheimer s Disease. 35(1). 179–198. 111 indexed citations
3.
Nagele, Robert G., Peter Clifford, Eli C. Levin, et al.. (2011). Brain-Reactive Autoantibodies Prevalent in Human Sera Increase Intraneuronal Amyloid-β1-42 Deposition. Journal of Alzheimer s Disease. 25(4). 605–622. 58 indexed citations
4.
Manolov, G, ALBERT LEVAN, J. S. Nadkarni, Jayshree J. Nadkarni, & Peter Clifford. (2009). Burkitt's lymphoma with female karyotype in an African male child. Hereditas. 66(1). 79–100. 2 indexed citations
5.
Clifford, Peter, Mary C. Kosciuk, Eli C. Levin, et al.. (2008). α7 nicotinic acetylcholine receptor expression by vascular smooth muscle cells facilitates the deposition of Aβ peptides and promotes cerebrovascular amyloid angiopathy. Brain Research. 1234. 158–171. 35 indexed citations
6.
Clifford, Peter, Mary C. Kosciuk, Venkateswar Venkataraman, et al.. (2007). Aβ peptides can enter the brain through a defective blood–brain barrier and bind selectively to neurons. Brain Research. 1142. 223–236. 111 indexed citations
7.
Leith, Douglas J. & Peter Clifford. (2006). A Self-Managed Distributed Channel Selection Algorithm for WLANs. 1–9. 72 indexed citations
8.
Clifford, Peter, et al.. (2006). Modeling 802.11e for data traffic parameter design. 1–10. 27 indexed citations
9.
Clifford, Peter. (1999). The effects of increasing the reverse curve of Spee in a lower archwire examined using a dynamic photo-elastic gelatine model. European Journal of Orthodontics. 21(3). 213–222. 17 indexed citations
10.
Pearson, Gary R., George Klein, Gertrude Henle, Werner Henle, & Peter Clifford. (1969). RELATION BETWEEN EPSTEIN-BARR VIRAL AND CELL MEMBRANE IMMUNOFLUORESCENCE IN BURKITT TUMOR CELLS. The Journal of Experimental Medicine. 129(4). 707–718. 41 indexed citations
11.
Klein, George, Gary R. Pearson, Gertrude Henle, et al.. (1969). RELATION BETWEEN EPSTEIN-BARR VIRAL AND CELL MEMBRANE IMMUNOFLUORESCENCE IN BURKITT TUMOR CELLS. The Journal of Experimental Medicine. 129(4). 697–705. 71 indexed citations
12.
Schryver, A. De, Sten Friberg, George Klein, et al.. (1969). Epstein-Barr virus-associated antibody patterns in carcinoma of the post-nasal space.. PubMed. 5(5). 443–59. 113 indexed citations
13.
14.
Klein, George, Gary R. Pearson, J. S. Nadkarni, et al.. (1968). RELATION BETWEEN EPSTEIN-BARR VIRAL AND CELL MEMBRANE IMMUNOFLUORESCENCE OF BURKITT TUMOR CELLS. The Journal of Experimental Medicine. 128(5). 1011–1020. 148 indexed citations
15.
Klein, George, J.J. Nadkarni, Hans Wigzell, et al.. (1967). SURFACE IgM SPECIFICITY ON CELLS DERIVED FROM A BURKITT'S LYMPHOMA. The Lancet. 290(7525). 1068–1070. 64 indexed citations
16.
Wang, D.Y., R.D. Bulbrook, & Peter Clifford. (1966). PLASMA-TESTOSTERONE LEVELS IN KENYAN MEN IN RELATION TO CANCER OF THE NASOPHARYNX. The Lancet. 288(7477). 1342–1344. 14 indexed citations
17.
Clifford, Peter & R.D. Bulbrook. (1966). ENDOCRINE STUDIES IN AFRICAN MALES WITH NASOPHARYNGEAL CANCER. The Lancet. 287(7449). 1228–1231. 18 indexed citations
18.
Clifford, Peter, et al.. (1964). Dimethyl Myleran Therapy Combined with Abdominal Aortic Occlusion. British Journal of Cancer. 18(3). 435–448. 7 indexed citations
19.
Clifford, Peter, et al.. (1963). Oral Melphalan Therapy in Advanced Malignant Disease. British Journal of Cancer. 17(3). 381–390. 11 indexed citations
20.
Clifford, Peter, et al.. (1961). NITROGEN-MUSTARD THERAPY COMBINED WITH AUTOLOGOUS MARROW INFUSION. The Lancet. 277(7179). 687–690. 49 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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