G M Connolly

26 total papers · 1.0k total citations
22 papers, 751 citations indexed

About

G M Connolly is a scholar working on Epidemiology, Parasitology and Infectious Diseases. According to data from OpenAlex, G M Connolly has authored 22 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 7 papers in Parasitology and 6 papers in Infectious Diseases. Recurrent topics in G M Connolly's work include Cytomegalovirus and herpesvirus research (8 papers), Parasitic Infections and Diagnostics (7 papers) and Pneumocystis jirovecii pneumonia detection and treatment (4 papers). G M Connolly is often cited by papers focused on Cytomegalovirus and herpesvirus research (8 papers), Parasitic Infections and Diagnostics (7 papers) and Pneumocystis jirovecii pneumonia detection and treatment (4 papers). G M Connolly collaborates with scholars based in United Kingdom, India and United States. G M Connolly's co-authors include Brian Gazzard, Alastair Forbes, D.C. Shanson, D A Hawkins, Matthew Dryden, J N Harcourt-Webster, David Hawkins, B Gazzard, O. A. N. Husain and J. A. Gleeson and has published in prestigious journals such as Gut, Antimicrobial Agents and Chemotherapy and AIDS.

In The Last Decade

G M Connolly

21 papers receiving 707 citations

Author Peers

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

Author						Papers	Cites
G M Connolly	423	257	175	173	59	22	751
Michelle Cespedes	344 0.8×	242 0.9×	182 1.0×	129 0.7×	79 1.3×	24	677
Lee Ford-Jones	281 0.7×	192 0.7×	95 0.5×	60 0.3×	17 0.3×	33	677
Anna Paola Massetti	296 0.7×	332 1.3×	187 1.1×	46 0.3×	216 3.7×	46	839
S.A. Uduman	264 0.6×	199 0.8×	67 0.4×	77 0.4×	48 0.8×	29	684
Irene Grant	331 0.8×	182 0.7×	19 0.1×	185 1.1×	100 1.7×	10	643
Gregory C. Townsend	279 0.7×	168 0.7×	116 0.7×	50 0.3×	28 0.5×	13	648
Luis Francisco Sánchez-Anguiano	363 0.9×	188 0.7×	35 0.2×	535 3.1×	43 0.7×	71	774
Natalia Mendoza	245 0.6×	129 0.5×	35 0.2×	134 0.8×	26 0.4×	37	639
Pauline Terebuh	323 0.8×	175 0.7×	78 0.4×	131 0.8×	16 0.3×	25	842
Paola Rodari	124 0.3×	384 1.5×	36 0.2×	243 1.4×	25 0.4×	39	643

Countries citing papers authored by G M Connolly

Since Specialization

Citations

This map shows the geographic impact of G M Connolly'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 Connolly 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 Connolly more than expected).

Fields of papers citing papers by G M Connolly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G M Connolly

This figure shows the co-authorship network connecting the top 25 collaborators of G M Connolly. A scholar is included among the top collaborators of G M Connolly 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 Connolly. G M Connolly 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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