G. M. TARRANT

1.4k total citations
11 papers, 1.1k citations indexed

About

G. M. TARRANT is a scholar working on Molecular Biology, Physiology and Aging. According to data from OpenAlex, G. M. TARRANT has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Aging. Recurrent topics in G. M. TARRANT's work include Telomeres, Telomerase, and Senescence (5 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Pluripotent Stem Cells Research (2 papers). G. M. TARRANT is often cited by papers focused on Telomeres, Telomerase, and Senescence (5 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Pluripotent Stem Cells Research (2 papers). G. M. TARRANT collaborates with scholars based in Tanzania and United Kingdom. G. M. TARRANT's co-authors include R. Holliday, C. Michael Lewis, Clive L. Bunn, Thomas B. L. Kirkwood, L. I. Huschtscha, Yogesh Mistry, Rosann A. Farber, Thomas D. Petes, Helen L. Ward and S. Poole and has published in prestigious journals such as Nature, Science and The Journal of Immunology.

In The Last Decade

G. M. TARRANT

11 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. M. TARRANT Tanzania	10	632	426	238	146	121	11	1.1k
W M Lee United States	8	1.2k 1.9×	146 0.3×	86 0.4×	66 0.5×	200 1.7×	8	1.4k
Mathieu Miron Canada	9	1.1k 1.7×	102 0.2×	211 0.9×	102 0.7×	67 0.6×	9	1.4k
Sanne Weijzen United States	11	1.3k 2.0×	106 0.2×	301 1.3×	157 1.1×	312 2.6×	13	1.7k
Brandon M. Hall United States	9	587 0.9×	485 1.1×	322 1.4×	113 0.8×	62 0.5×	11	1.2k
Masaki Kashiwada United States	18	458 0.7×	244 0.6×	787 3.3×	39 0.3×	243 2.0×	25	1.5k
Darren M. Hutt United States	21	935 1.5×	206 0.5×	92 0.4×	75 0.5×	103 0.9×	29	1.6k
Rocco J. Rotello United States	11	1.1k 1.7×	92 0.2×	497 2.1×	38 0.3×	243 2.0×	13	1.7k
K. Yoshino Japan	6	1.5k 2.4×	186 0.4×	266 1.1×	52 0.4×	121 1.0×	7	1.9k
Jeanne Matteson United States	15	1.6k 2.5×	371 0.9×	188 0.8×	27 0.2×	80 0.7×	18	2.3k
Evan Hermel United States	16	1.2k 1.9×	110 0.3×	602 2.5×	24 0.2×	114 0.9×	27	2.1k

Countries citing papers authored by G. M. TARRANT

Since Specialization

Citations

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

Fields of papers citing papers by G. M. TARRANT

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. M. TARRANT. 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 G. M. TARRANT. The network helps show where G. M. TARRANT may publish in the future.

Co-authorship network of co-authors of G. M. TARRANT

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

All Works

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11 of 11 papers shown

Stebbings, Richard, Lucy Findlay, David Eastwood, et al.. (2007). “Cytokine Storm” in the Phase I Trial of Monoclonal Antibody TGN1412: Better Understanding the Causes to Improve PreClinical Testing of Immunotherapeutics. The Journal of Immunology. 179(5). 3325–3331. 222 indexed citations

Rees, Gwen S., Christine Ball, Helen L. Ward, et al.. (1999). RAT INTERLEUKIN 6: EXPRESSION IN RECOMBINANTESCHERICHIA COLI, PURIFICATION AND DEVELOPMENT OF A NOVEL ELISA. Cytokine. 11(2). 95–103. 65 indexed citations

Rees, Gwen S., Christopher K. Gee, Helen L. Ward, et al.. (1999). Rat tumour necrosis factor-alpha: expression in recombinant Pichia pastoris, purification, characterization and development of a novel ELISA.. PubMed. 10(3). 383–92. 45 indexed citations

Bunn, Clive L. & G. M. TARRANT. (1980). Limited lifespan in somatic cell hybrids and cybrids. Experimental Cell Research. 127(2). 385–396. 103 indexed citations

TARRANT, G. M. & R. Holliday. (1977). A search for allelic recombination in Chinese hamster cell hybrids. Molecular and General Genetics MGG. 156(3). 273–279. 25 indexed citations

Holliday, R., L. I. Huschtscha, G. M. TARRANT, & Thomas B. L. Kirkwood. (1977). Testing the Commitment Theory of Cellular Aging. Science. 198(4315). 366–372. 126 indexed citations

Fulder, Stephen & G. M. TARRANT. (1975). Possible changes in gene activity during the ageing of human fibroblasts. Experimental Gerontology. 10(3-4). 205–211. 5 indexed citations

Petes, Thomas D., Rosann A. Farber, G. M. TARRANT, & R. Holliday. (1974). Altered rate of DNA replication in ageing human fibroblast cultures. Nature. 251(5474). 434–436. 63 indexed citations

Holliday, R. & G. M. TARRANT. (1972). Altered Enzymes in Ageing Human Fibroblasts. Nature. 238(5358). 26–30. 334 indexed citations

10.

Lewis, C. Michael & G. M. TARRANT. (1972). Error Theory and Ageing in Human Diploid Fibroblasts. Nature. 239(5371). 316–318. 113 indexed citations

11.

Lewis, Charles & G. M. TARRANT. (1971). Induction of mutation by 5-fluorouracil and amino acid analogues in Ustilago maydis. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 12(4). 349–356. 25 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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