D. J. Sheehan

1.9k total citations
9 papers, 1.5k citations indexed

About

D. J. Sheehan is a scholar working on Infectious Diseases, Epidemiology and Physiology. According to data from OpenAlex, D. J. Sheehan has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Epidemiology and 2 papers in Physiology. Recurrent topics in D. J. Sheehan's work include Antifungal resistance and susceptibility (5 papers), Fungal Infections and Studies (3 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). D. J. Sheehan is often cited by papers focused on Antifungal resistance and susceptibility (5 papers), Fungal Infections and Studies (3 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). D. J. Sheehan collaborates with scholars based in United States, United Kingdom and India. D. J. Sheehan's co-authors include Michael A. Pfaller, John Rex, Daniel J. Diekema, S. P. W. Chave, J.N. Morris, Leonard H. Epstein, Cécile Adam, John C. McKitrick, B. Raucher and Thomas J. Walsh and has published in prestigious journals such as The Lancet, Clinical Microbiology Reviews and Clinical Infectious Diseases.

In The Last Decade

D. J. Sheehan

9 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. J. Sheehan United States 8 880 639 146 141 117 9 1.5k
Deepak Aggarwal India 19 394 0.4× 296 0.5× 49 0.3× 179 1.3× 33 0.3× 83 2.3k
Harsimran Kaur India 23 1.5k 1.7× 983 1.5× 99 0.7× 156 1.1× 60 0.5× 135 2.1k
Robin McKenzie United States 24 628 0.7× 572 0.9× 54 0.4× 49 0.3× 14 0.1× 41 2.0k
Marco Cassone United States 23 494 0.6× 571 0.9× 171 1.2× 29 0.2× 14 0.1× 72 1.9k
Susan Hadley United States 28 3.4k 3.9× 2.9k 4.5× 98 0.7× 250 1.8× 91 0.8× 44 4.3k
Daniel Amsterdam United States 20 354 0.4× 503 0.8× 307 2.1× 53 0.4× 16 0.1× 109 1.8k
Luana Rossato Brazil 20 492 0.6× 424 0.7× 51 0.3× 145 1.0× 27 0.2× 78 1.1k
Nevio Cimolai Canada 24 684 0.8× 475 0.7× 59 0.4× 24 0.2× 14 0.1× 118 1.8k
Karen E. White United States 21 685 0.8× 263 0.4× 57 0.4× 17 0.1× 11 0.1× 30 1.9k
P G Shivananda India 17 280 0.3× 230 0.4× 23 0.2× 55 0.4× 72 0.6× 74 865

Countries citing papers authored by D. J. Sheehan

Since Specialization
Citations

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

Fields of papers citing papers by D. J. Sheehan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. J. Sheehan. 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 D. J. Sheehan. The network helps show where D. J. Sheehan may publish in the future.

Co-authorship network of co-authors of D. J. Sheehan

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

All Works

9 of 9 papers shown
2.
Pfaller, Michael A., Daniel J. Diekema, Mahmoud A. Ghannoum, et al.. (2009). Wild-Type MIC Distribution and Epidemiological Cutoff Values for Aspergillus fumigatus and Three Triazoles as Determined by the Clinical and Laboratory Standards Institute Broth Microdilution Methods. Journal of Clinical Microbiology. 47(10). 3142–3146. 107 indexed citations
3.
Pfaller, Michael A., Daniel J. Diekema, Luis Ostrosky‐Zeichner, et al.. (2008). Correlation of MIC with Outcome for Candida Species Tested against Caspofungin, Anidulafungin, and Micafungin: Analysis and Proposal for Interpretive MIC Breakpoints. Journal of Clinical Microbiology. 46(8). 2620–2629. 199 indexed citations
4.
Pfaller, Michael A., Daniel J. Diekema, John Rex, et al.. (2006). Correlation of MIC with Outcome for Candida Species Tested against Voriconazole: Analysis and Proposal for Interpretive Breakpoints. Journal of Clinical Microbiology. 44(3). 819–826. 216 indexed citations
5.
Pfaller, Michael A., Daniel J. Diekema, & D. J. Sheehan. (2006). Interpretive Breakpoints for Fluconazole and Candida Revisited: a Blueprint for the Future of Antifungal Susceptibility Testing. Clinical Microbiology Reviews. 19(2). 435–447. 229 indexed citations
6.
Pfaller, Michael A., D. J. Sheehan, & John Rex. (2004). Determination of Fungicidal Activities against Yeasts and Molds: Lessons Learned from Bactericidal Testing and the Need for Standardization. Clinical Microbiology Reviews. 17(2). 268–280. 253 indexed citations
7.
Sheehan, D. J., B. Raucher, & John C. McKitrick. (1986). Association of Blastocystis hominis with signs and symptoms of human disease. Journal of Clinical Microbiology. 24(4). 548–550. 120 indexed citations
8.
Bottone, Edward J. & D. J. Sheehan. (1984). Reply. Clinical Infectious Diseases. 6(3). 423–424. 2 indexed citations
9.
Morris, J.N., et al.. (1973). VIGOROUS EXERCISE IN LEISURE-TIME AND THE INCIDENCE OF CORONARY HEART-DISEASE. The Lancet. 301(7799). 333–339. 320 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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