I.M. Gould

43 total papers · 887 total citations
30 papers, 650 citations indexed

About

I.M. Gould is a scholar working on Infectious Diseases, Epidemiology and Applied Microbiology and Biotechnology. According to data from OpenAlex, I.M. Gould has authored 30 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 9 papers in Epidemiology and 7 papers in Applied Microbiology and Biotechnology. Recurrent topics in I.M. Gould's work include Antimicrobial Resistance in Staphylococcus (7 papers), Antibiotic Use and Resistance (7 papers) and Bacterial Identification and Susceptibility Testing (5 papers). I.M. Gould is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (7 papers), Antibiotic Use and Resistance (7 papers) and Bacterial Identification and Susceptibility Testing (5 papers). I.M. Gould collaborates with scholars based in United Kingdom, Zimbabwe and Brazil. I.M. Gould's co-authors include Fiona Mackenzie, Michael A. Pfaller, V. A. Newell, Arnaldo Lopes Colombo, Jacques F. Meis, Fu Wang, Daniel J. Diekema, David L. Gibbs, Eduardo Rodríguez-Noriega and M.W. Casewell and has published in prestigious journals such as Journal of Clinical Microbiology, Journal of Antimicrobial Chemotherapy and British Journal of Dermatology.

In The Last Decade

I.M. Gould

30 papers receiving 630 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
I.M. Gould	316	270	101	79	72	30	650
Michaela Simon	314 1.0×	196 0.7×	121 1.2×	84 1.1×	119 1.7×	44	751
Emanuela Sozio	271 0.9×	179 0.7×	116 1.1×	64 0.8×	84 1.2×	41	605
B S Azadian	194 0.6×	229 0.8×	92 0.9×	73 0.9×	62 0.9×	46	739
Wei‐Chuan Hsieh	263 0.8×	238 0.9×	179 1.8×	100 1.3×	77 1.1×	21	595
Assaf Mizrahi	228 0.7×	275 1.0×	137 1.4×	125 1.6×	62 0.9×	48	581
T. Schülin	249 0.8×	305 1.1×	131 1.3×	106 1.3×	112 1.6×	18	575
Alicia Galar	243 0.8×	293 1.1×	93 0.9×	107 1.4×	40 0.6×	31	615
Ying-Chun Xu	374 1.2×	313 1.2×	118 1.2×	99 1.3×	89 1.2×	23	578
Giovanni Gesu	212 0.7×	200 0.7×	70 0.7×	94 1.2×	101 1.4×	33	573
Sangeeta Joshi	345 1.1×	217 0.8×	113 1.1×	73 0.9×	111 1.5×	30	632

Countries citing papers authored by I.M. Gould

Since Specialization

Citations

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

Fields of papers citing papers by I.M. Gould

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I.M. Gould

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

All Works

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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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