R. Conklin

13 total papers · 953 total citations
11 papers, 753 citations indexed

About

R. Conklin is a scholar working on Infectious Diseases, Pharmacology and Molecular Medicine. According to data from OpenAlex, R. Conklin has authored 11 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 6 papers in Pharmacology and 5 papers in Molecular Medicine. Recurrent topics in R. Conklin's work include Antifungal resistance and susceptibility (6 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Antibiotic Resistance in Bacteria (5 papers). R. Conklin is often cited by papers focused on Antifungal resistance and susceptibility (6 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Antibiotic Resistance in Bacteria (5 papers). R. Conklin collaborates with scholars based in United States, Australia and China. R. Conklin's co-authors include David R. Andes, Karen Marchillo, Nasia Safdar, Anthony Cacciapuoti, Farkad Ezzet, Gopal Krishna, David Loebenberg, Jonathan Lowther, A. Bryskier and S.D. Folz and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Veterinary Parasitology and The Journal of Antibiotics.

In The Last Decade

R. Conklin

11 papers receiving 737 citations

Author Peers

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

Author						Papers	Cites
R. Conklin	663	369	332	102	49	11	753
Jodi M. Lestner	563 0.8×	450 1.2×	172 0.5×	64 0.6×	22 0.4×	18	813
Lea Gregson	570 0.9×	463 1.3×	188 0.6×	93 0.9×	55 1.1×	18	767
Diana Mickiene	717 1.1×	505 1.4×	187 0.6×	121 1.2×	12 0.2×	20	880
Theodouli Stergiopoulou	515 0.8×	419 1.1×	228 0.7×	130 1.3×	202 4.1×	21	865
A W Fothergill	650 1.0×	504 1.4×	75 0.2×	105 1.0×	19 0.4×	16	882
C Perego	660 1.0×	590 1.6×	79 0.2×	127 1.2×	59 1.2×	10	848
Michal Kantecki	502 0.8×	369 1.0×	121 0.4×	64 0.6×	50 1.0×	28	643
L. O. White	341 0.5×	215 0.6×	269 0.8×	62 0.6×	82 1.7×	33	760
Katsuyuki Maki	589 0.9×	412 1.1×	206 0.6×	111 1.1×	12 0.2×	24	782
Joanne Livermore	578 0.9×	508 1.4×	182 0.5×	73 0.7×	61 1.2×	16	764

Countries citing papers authored by R. Conklin

Since Specialization

Citations

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

Fields of papers citing papers by R. Conklin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Conklin

This figure shows the co-authorship network connecting the top 25 collaborators of R. Conklin. A scholar is included among the top collaborators of R. Conklin 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 R. Conklin. R. Conklin 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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