John Dowling

4.7k total citations
115 papers, 3.5k citations indexed

About

John Dowling is a scholar working on Molecular Biology, Epidemiology and Endocrinology. According to data from OpenAlex, John Dowling has authored 115 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 30 papers in Epidemiology and 30 papers in Endocrinology. Recurrent topics in John Dowling's work include Legionella and Acanthamoeba research (28 papers), Biomedical Text Mining and Ontologies (13 papers) and Data-Driven Disease Surveillance (12 papers). John Dowling is often cited by papers focused on Legionella and Acanthamoeba research (28 papers), Biomedical Text Mining and Ontologies (13 papers) and Data-Driven Disease Surveillance (12 papers). John Dowling collaborates with scholars based in United States, Ireland and Spain. John Dowling's co-authors include Wendy W. Chapman, A. William Pasculle, John A. Armstrong, R B Yee, Michael M. Wagner, Robert K. Klepac, Gregory Hauge, Henk Harkema, Monto Ho and Asish K. Saha and has published in prestigious journals such as Science, New England Journal of Medicine and Annals of Internal Medicine.

In The Last Decade

John Dowling

99 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Dowling United States 34 1.1k 1.1k 1.1k 510 462 115 3.5k
William B. Baine United States 22 488 0.4× 817 0.7× 371 0.3× 13 0.0× 314 0.7× 37 2.5k
Gregory D. Pearson United States 29 352 0.3× 813 0.7× 457 0.4× 31 0.1× 566 1.2× 86 4.0k
Lance Jennings New Zealand 28 291 0.3× 99 0.1× 2.4k 2.3× 51 0.1× 200 0.4× 84 3.7k
Susan P. Fisher‐Hoch United States 40 676 0.6× 369 0.3× 1.9k 1.8× 19 0.0× 291 0.6× 165 5.9k
Nancy A. Chow United States 18 303 0.3× 203 0.2× 1.1k 1.1× 43 0.1× 114 0.2× 50 4.5k
Weidong Zhang China 31 1.1k 0.9× 161 0.1× 593 0.6× 18 0.0× 354 0.8× 209 4.6k
Tanu Singhal India 19 266 0.2× 121 0.1× 454 0.4× 156 0.3× 84 0.2× 79 3.9k
Alfred DeMaria United States 32 254 0.2× 114 0.1× 1.3k 1.2× 53 0.1× 125 0.3× 116 3.2k
Haiyan Yang China 27 1.0k 0.9× 146 0.1× 324 0.3× 24 0.0× 240 0.5× 204 3.7k
Pier Luigi Lopalco Italy 41 195 0.2× 78 0.1× 2.6k 2.4× 107 0.2× 276 0.6× 193 4.6k

Countries citing papers authored by John Dowling

Since Specialization
Citations

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

Fields of papers citing papers by John Dowling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Dowling

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

All Works

20 of 20 papers shown
1.
Conway, Mike, John Dowling, & Wendy W. Chapman. (2013). Using chief complaints for syndromic surveillance: A review of chief complaint based classifiers in North America. Journal of Biomedical Informatics. 46(4). 734–743. 40 indexed citations
2.
Conway, Mike, John Dowling, & Wendy W. Chapman. (2010). Developing an application ontology for mining free text clinical reports: The extended syndromic surveillance ontology. CEUR Workshop Proceedings. 744. 75–82. 7 indexed citations
3.
Harkema, Henk, et al.. (2009). ConText: An algorithm for determining negation, experiencer, and temporal status from clinical reports. Journal of Biomedical Informatics. 42(5). 839–851. 274 indexed citations
4.
Dowling, John, et al.. (2007). Estimating the joint disease outbreak-detection time when an automated biosurveillance system is augmenting traditional clinical case finding. Journal of Biomedical Informatics. 41(2). 224–231. 6 indexed citations
5.
Dowling, John, et al.. (2007). Evaluation of preprocessing techniques for chief complaint classification. Journal of Biomedical Informatics. 41(4). 613–623. 29 indexed citations
6.
Chapman, Wendy W. & John Dowling. (2005). Inductive creation of an annotation schema for manually indexing clinical conditions from emergency department reports. Journal of Biomedical Informatics. 39(2). 196–208. 23 indexed citations
7.
Chapman, Wendy W., John Dowling, & Michael M. Wagner. (2005). Generating a Reliable Reference Standard Set for Syndromic Case Classification. Journal of the American Medical Informatics Association. 12(6). 618–629. 25 indexed citations
8.
Chapman, Wendy W., John Dowling, & Michael M. Wagner. (2005). Classification of Emergency Department Chief Complaints Into 7 Syndromes: A Retrospective Analysis of 527,228 Patients. Annals of Emergency Medicine. 46(5). 445–455. 76 indexed citations
9.
Doherty, Donna, John Dowling, P.J. Wright, et al.. (2004). The potential use of prehospital thrombolysis in a rural community. Resuscitation. 61(3). 303–307. 9 indexed citations
10.
Wagner, Michael M., et al.. (2003). Representative threats for research in public health surveillance. Journal of Biomedical Informatics. 36(3). 177–188. 13 indexed citations
11.
Drużdżel, Marek J., Agnieszka Oniśko, Daniel G. Schwartz, John Dowling, & Hanna Wasyluk. (1999). Knowledge Engineering for Very Large Decision-analytic Medical Models. PubMed Central. 1049–1049. 10 indexed citations
12.
Dowling, John. (1991). Ramón de la Cruz: libretista de zarzuelas. Bulletin of Hispanic Studies. 68(1). 173–173. 1 indexed citations
13.
Mukhopadhyay, Nishit K., Asish K. Saha, William Smith, et al.. (1989). Inhibition of neutrophil and natural killer cell function by human seminal fluid acid phosphatase. Clinica Chimica Acta. 182(1). 31–40. 7 indexed citations
14.
Whitaker‐Dowling, Patricia, John Dowling, Lenna Liu, & Julius S. Youngner. (1986). Interferon Inhibits the Growth of Legionella micdadei in Mouse L Cells. Journal of Interferon Research. 6(2). 107–114. 8 indexed citations
15.
Dowling, John, Frank J. Kroboth, Michael Karpf, R B Yee, & A. William Pasculle. (1983). Pneumonia and Multiple Lung Abscesses Caused by Dual Infection with Legionella micdadei and Legionella pneumophila 1. American Review of Respiratory Disease. 127(1). 121–125. 29 indexed citations
16.
Klepac, Robert K., John Dowling, Paul D. Rokke, Laura E. Dodge, & Lorraine C. Schafer. (1981). Interview vs. paper-and-pencil administration of the McGill pain questionnaire. Pain. 11(2). 241–246. 39 indexed citations
17.
Klepac, Robert K., John Dowling, & Gregory Hauge. (1981). Sensitivity of the McGill pain questionnaire to intensity and quality of laboratory pain. Pain. 10(2). 199–207. 49 indexed citations
18.
Dowling, John. (1980). Dialogue or Destruction: Films on Alternatives to the Arms Race.. 17(3). 28.
19.
Dowling, John, et al.. (1974). Rubber Band Lab.. The Physics Teacher. 1 indexed citations
20.
Dowling, John. (1970). The Mexico City Theatre, 1969.. Latin American theatre review. 3(2). 55–66. 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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