T. Rich

501 total citations
10 papers, 378 citations indexed

About

T. Rich is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, T. Rich has authored 10 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Genetics. Recurrent topics in T. Rich's work include Retinoids in leukemia and cellular processes (4 papers), Virus-based gene therapy research (3 papers) and interferon and immune responses (2 papers). T. Rich is often cited by papers focused on Retinoids in leukemia and cellular processes (4 papers), Virus-based gene therapy research (3 papers) and interferon and immune responses (2 papers). T. Rich collaborates with scholars based in United Kingdom, France and United States. T. Rich's co-authors include Janet C. Patterson‐Kane, David L. Becker, Brian J. Ferguson, AH Wyllie, Paolo Salomoni, Dominique Charron, Keith N. Leppard, Edward Emmott, Marc S. Cortese and Nuala Mooney and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and Human Molecular Genetics.

In The Last Decade

T. Rich

10 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. Rich United Kingdom	8	177	124	79	67	41	10	378
Merry Z. C. Ruan United States	9	282 1.6×	30 0.2×	130 1.6×	31 0.5×	101 2.5×	15	603
Blair Hopwood Australia	11	473 2.7×	106 0.9×	58 0.7×	67 1.0×	89 2.2×	14	692
J Lewthwaite United Kingdom	10	96 0.5×	44 0.4×	60 0.8×	60 0.9×	68 1.7×	11	380
Jacob B Swanson United States	6	69 0.4×	111 0.9×	84 1.1×	83 1.2×	20 0.5×	8	292
Elaine R. Garvican United Kingdom	10	47 0.3×	84 0.7×	111 1.4×	8 0.1×	14 0.3×	15	301
Nora Shepard Canada	10	113 0.6×	26 0.2×	85 1.1×	18 0.3×	49 1.2×	18	445
Matti Jortikka Finland	7	91 0.5×	86 0.7×	111 1.4×	9 0.1×	18 0.4×	8	378
Naoto Kosaki Japan	8	149 0.8×	38 0.3×	111 1.4×	46 0.7×	34 0.8×	9	366
R. Raiss Germany	10	49 0.3×	55 0.4×	145 1.8×	30 0.4×	10 0.2×	18	419
Maria Elena Candela United States	9	96 0.5×	73 0.6×	74 0.9×	17 0.3×	22 0.5×	11	286

Countries citing papers authored by T. Rich

Since Specialization

Citations

This map shows the geographic impact of T. Rich'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 T. Rich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Rich more than expected).

Fields of papers citing papers by T. Rich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Rich

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

All Works

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10 of 10 papers shown

1.

Rich, T., Roger T. Dean, Catherine G. Lamm, et al.. (2014). p62/Sequestosome-1. Veterinary Pathology. 52(4). 621–630. 7 indexed citations

2.

Patterson‐Kane, Janet C. & T. Rich. (2014). Achilles Tendon Injuries in Elite Athletes: Lessons in Pathophysiology from Their Equine Counterparts. ILAR Journal. 55(1). 86–99. 58 indexed citations

3.

Patterson‐Kane, Janet C., David L. Becker, & T. Rich. (2012). The Pathogenesis of Tendon Microdamage in Athletes: the Horse as a Natural Model for Basic Cellular Research. Journal of Comparative Pathology. 147(2-3). 227–247. 92 indexed citations

4.

Salomoni, Paolo, Brian J. Ferguson, AH Wyllie, & T. Rich. (2008). New insights into the role of PML in tumour suppression. Cell Research. 18(6). 622–640. 83 indexed citations

5.

Leppard, Keith N., Edward Emmott, Marc S. Cortese, & T. Rich. (2008). Adenovirus type 5 E4 Orf3 protein targets promyelocytic leukaemia (PML) protein nuclear domains for disruption via a sequence in PML isoform II that is predicted as a protein interaction site by bioinformatic analysis. Journal of General Virology. 90(1). 95–104. 31 indexed citations

6.

Varadaraj, Archana, et al.. (2007). Evidence for the receipt of DNA damage stimuli by PML nuclear domains. The Journal of Pathology. 211(4). 471–480. 26 indexed citations

7.

Laredj, Leila, Brian J. Ferguson, & T. Rich. (2007). Microbial and acute phase stimuli disrupt promyelocytic leukemia tumor suppressive nodes. Molecular Immunology. 45(5). 1477–1484. 2 indexed citations

8.

Rich, T., Éric Assier, Jeremy N. Skepper, et al.. (1999). Disassembly of Nuclear Inclusions in the Dividing Cell--A Novel Insight into Neurodegeneration. Human Molecular Genetics. 8(13). 2451–2459. 28 indexed citations

9.

Rich, T., Sean Lawler, Janet M. Lord, et al.. (1997). HLA class II-induced translocation of PKC alpha and PKC beta II isoforms is abrogated following truncation of DR beta cytoplasmic domains. The Journal of Immunology. 159(8). 3792–3798. 44 indexed citations

10.

Dietzsch, E., et al.. (1986). An anonymous human single copy genomic clone (D8S5) (TL11) on chromosome 8 identifies a moderately frequent RFLP. Nucleic Acids Research. 14(16). 6781–6781. 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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