Keith S. Robinson

1.2k total citations
8 papers, 541 citations indexed

About

Keith S. Robinson is a scholar working on Endocrinology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Keith S. Robinson has authored 8 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, 4 papers in Infectious Diseases and 2 papers in Molecular Biology. Recurrent topics in Keith S. Robinson's work include Escherichia coli research studies (4 papers), Vibrio bacteria research studies (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Keith S. Robinson is often cited by papers focused on Escherichia coli research studies (4 papers), Vibrio bacteria research studies (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Keith S. Robinson collaborates with scholars based in United Kingdom, Australia and France. Keith S. Robinson's co-authors include Gad Frankel, Cédric N. Berger, Elizabeth L. Hartland, Sau Fung Lee, Diana Munera, Jaclyn S. Pearson, Michael D. Bright, Aurélie Mousnier, Olivier Marchès and Abigail Clements and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Oncogene and Molecular Microbiology.

In The Last Decade

Keith S. Robinson

8 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keith S. Robinson United Kingdom	6	346	193	182	130	92	8	541
Sau Fung Lee Australia	7	413 1.2×	203 1.1×	175 1.0×	154 1.2×	98 1.1×	7	554
Richard Bulgin United Kingdom	7	322 0.9×	127 0.7×	137 0.8×	145 1.1×	92 1.0×	7	440
Stephanie R. Shames United States	14	377 1.1×	105 0.5×	292 1.6×	79 0.6×	61 0.7×	26	649
Myriam de Grado Canada	9	301 0.9×	171 0.9×	233 1.3×	220 1.7×	94 1.0×	9	580
Sansan Lee United States	6	586 1.7×	283 1.5×	192 1.1×	296 2.3×	134 1.5×	7	760
Cristina Giogha Australia	12	174 0.5×	69 0.4×	163 0.9×	59 0.5×	92 1.0×	16	365
J. Adam Crawford United States	12	662 1.9×	234 1.2×	245 1.3×	267 2.1×	196 2.1×	14	883
Brandon Sit United States	13	171 0.5×	57 0.3×	180 1.0×	70 0.5×	59 0.6×	25	434
Manon Rosselin Switzerland	10	172 0.5×	75 0.4×	153 0.8×	56 0.4×	218 2.4×	13	441
Troy P. Hubbard United States	12	267 0.8×	57 0.3×	245 1.3×	97 0.7×	66 0.7×	12	486

Countries citing papers authored by Keith S. Robinson

Since Specialization

Citations

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

Fields of papers citing papers by Keith S. Robinson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith S. Robinson. 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 Keith S. Robinson. The network helps show where Keith S. Robinson may publish in the future.

Co-authorship network of co-authors of Keith S. Robinson

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

All Works

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8 of 8 papers shown

Robinson, Keith S., et al.. (2024). TMBIM6/BI-1 is an intracellular environmental regulator that induces paraptosis in cancer via ROS and Calcium-activated ERAD II pathways. Oncogene. 44(8). 494–512. 2 indexed citations

Robinson, Keith S. & Rochelle Aw. (2016). The Commonalities in Bacterial Effector Inhibition of Apoptosis. Trends in Microbiology. 24(8). 665–680. 24 indexed citations

Robinson, Keith S., et al.. (2011). Bax Inhibitor 1 in apoptosis and disease. Oncogene. 30(21). 2391–2400. 71 indexed citations

Pearson, Jaclyn S., Michael D. Bright, Diana Munera, et al.. (2011). Enteropathogenic and enterohaemorrhagic Escherichia coli: even more subversive elements. Molecular Microbiology. 80(6). 1420–1438. 274 indexed citations

Martínez, Eric, Gunnar N. Schroeder, Cédric N. Berger, et al.. (2010). Binding to Na+/H+ exchanger regulatory factor 2 (NHERF2) affects trafficking and function of the enteropathogenic Escherichia coli type III secretion system effectors Map, EspI and NleH. Cellular Microbiology. 12(12). 1718–1731. 34 indexed citations

Robinson, Keith S., et al.. (2010). The enteropathogenic Escherichia coli effector NleH inhibits apoptosis induced by Clostridium difficile toxin B. Microbiology. 156(6). 1815–1823. 24 indexed citations

Berger, Cédric N., et al.. (2010). NleH effectors interact with Bax inhibitor-1 to block apoptosis during enteropathogenic Escherichia coli infection. Proceedings of the National Academy of Sciences. 107(7). 3129–3134. 110 indexed citations

Robinson, Keith S., E. Bey, J. J. Alexander, & J. H. S. Gear. (1976). Chromosome analyses of two recently established human tumour cell lines derived from a carcinoma of the oesophagus and a primary liver tumour.. PubMed. 41(4). 285–95. 2 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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