Philip Matharu

431 total citations
9 papers, 361 citations indexed

About

Philip Matharu is a scholar working on Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Philip Matharu has authored 9 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Philip Matharu's work include Herpesvirus Infections and Treatments (2 papers), Estrogen and related hormone effects (2 papers) and Retinoids in leukemia and cellular processes (2 papers). Philip Matharu is often cited by papers focused on Herpesvirus Infections and Treatments (2 papers), Estrogen and related hormone effects (2 papers) and Retinoids in leukemia and cellular processes (2 papers). Philip Matharu collaborates with scholars based in United Kingdom, Canada and Switzerland. Philip Matharu's co-authors include Glen E. Sweeney, Stephen M. Anderton, Nicholas J. Viner, David C. Wraith, P. Lowrey, Ian R. Bates, George Harauz, Nick Viner, D. D. Wood and Mario A. Moscarello and has published in prestigious journals such as Nature Immunology, Journal of Virology and FEBS Letters.

In The Last Decade

Philip Matharu

9 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Matharu United Kingdom 7 204 87 52 42 37 9 361
Uwe Eberspaecher Germany 8 263 1.3× 34 0.4× 73 1.4× 113 2.7× 24 0.6× 10 483
Lorenz Chatwell Germany 9 235 1.2× 81 0.9× 20 0.4× 33 0.8× 106 2.9× 9 372
Lisa Murphy Ireland 12 382 1.9× 122 1.4× 79 1.5× 20 0.5× 91 2.5× 14 637
Nicholas A. Nelson United States 9 79 0.4× 58 0.7× 20 0.4× 42 1.0× 21 0.6× 9 269
Marie‐France Counis France 9 350 1.7× 63 0.7× 27 0.5× 11 0.3× 20 0.5× 11 437
Michael P. Lardis United States 10 254 1.2× 120 1.4× 73 1.4× 23 0.5× 102 2.8× 11 467
Ellen Rothermel Germany 14 222 1.1× 209 2.4× 45 0.9× 8 0.2× 27 0.7× 19 526
Brigitte Wittmann‐Liebold Germany 9 363 1.8× 50 0.6× 43 0.8× 10 0.2× 18 0.5× 10 457
Hélène Gras France 7 181 0.9× 107 1.2× 17 0.3× 111 2.6× 20 0.5× 8 421
Fred A.M. Asselbergs Switzerland 15 492 2.4× 63 0.7× 133 2.6× 11 0.3× 45 1.2× 38 614

Countries citing papers authored by Philip Matharu

Since Specialization
Citations

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

Fields of papers citing papers by Philip Matharu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Matharu

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Matharu. A scholar is included among the top collaborators of Philip Matharu 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 Philip Matharu. Philip Matharu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Anderton, Stephen M., Nicholas J. Viner, Philip Matharu, P. Lowrey, & David C. Wraith. (2002). Influence of a dominant cryptic epitope on autoimmune T cell tolerance. Nature Immunology. 3(2). 175–181. 82 indexed citations
2.
Ishiyama, Noboru, Ian R. Bates, Christopher M. Hill, et al.. (2001). The Effects of Deimination of Myelin Basic Protein on Structures Formed by Its Interaction with Phosphoinositide- Containing Lipid Monolayers. Journal of Structural Biology. 136(1). 30–45. 48 indexed citations
3.
Bates, Ian R., Philip Matharu, Noboru Ishiyama, et al.. (2000). Characterization of a Recombinant Murine 18.5-kDa Myelin Basic Protein. Protein Expression and Purification. 20(2). 285–299. 70 indexed citations
4.
Ishiyama, Noboru, Philip Matharu, Ian R. Bates, et al.. (2000). Electron Microscopy of Myelin Basic Protein (MBP) Organized as Planar Arrays on a Lipid Monolayer Surface: Deimination of MBP Hinders Its Organizational Properties. Microscopy and Microanalysis. 6(S2). 250–251. 5 indexed citations
5.
Berry, Colin, Michelle J. Humphreys, Philip Matharu, et al.. (1999). A distinct member of the aspartic proteinase gene family from the human malaria parasite Plasmodium falciparum. FEBS Letters. 447(2-3). 149–154. 60 indexed citations
6.
Wees, Jacqueline van der, et al.. (1996). Developmental expression and differential regulation by retinoic acid ofXenopus COUP-TF-A andCOUP-TF-B. Mechanisms of Development. 54(2). 173–184. 46 indexed citations
7.
Tigue, Natalie J., Philip Matharu, N. A. Roberts, et al.. (1996). Cloning, expression and characterization of the proteinase from human herpesvirus 6. Journal of Virology. 70(6). 4136–4141. 18 indexed citations
8.
Matharu, Philip, et al.. (1993). Cloning and sequencing of a Xenopus homologue of the inducible orphan receptor NGFI-B. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1173(2). 239–242. 4 indexed citations
9.
Matharu, Philip & Glen E. Sweeney. (1992). Cloning and sequencing of a COUP transcription factor gene expressed in Xenopus embryos. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1129(3). 331–334. 28 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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