Philip J. Jeng

49 total papers · 735 total citations
33 papers, 495 citations indexed

About

Philip J. Jeng is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Philip J. Jeng has authored 33 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Public Health, Environmental and Occupational Health, 19 papers in Epidemiology and 10 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Philip J. Jeng's work include Opioid Use Disorder Treatment (22 papers), Substance Abuse Treatment and Outcomes (15 papers) and Prenatal Substance Exposure Effects (10 papers). Philip J. Jeng is often cited by papers focused on Opioid Use Disorder Treatment (22 papers), Substance Abuse Treatment and Outcomes (15 papers) and Prenatal Substance Exposure Effects (10 papers). Philip J. Jeng collaborates with scholars based in United States, Finland and Canada. Philip J. Jeng's co-authors include Yuhua Bao, Bruce R. Schackman, Sean M. Murphy, Hefei Wen, Jason M. Hockenberry, Katherine Wen, Joshua D. Lee, Zachary F. Meisel, Shashi N. Kapadia and Ali Jalali and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and Clinical Infectious Diseases.

In The Last Decade

Philip J. Jeng

30 papers receiving 475 citations

Author Peers

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

Author						Papers	Cites
Philip J. Jeng	351	234	104	79	78	33	495
Sophie A. Kitchen	281 0.8×	188 0.8×	58 0.6×	34 0.4×	69 0.9×	21	496
Elizabeth Magnan	297 0.8×	131 0.6×	57 0.5×	43 0.5×	171 2.2×	29	551
Donald Bourne	247 0.7×	156 0.7×	61 0.6×	31 0.4×	73 0.9×	29	499
Douglas McDonald	322 0.9×	107 0.5×	78 0.8×	56 0.7×	138 1.8×	32	550
Ximena A. Levander	289 0.8×	194 0.8×	47 0.5×	36 0.5×	86 1.1×	35	517
Heather Palis	356 1.0×	245 1.0×	76 0.7×	31 0.4×	42 0.5×	45	493
Jared W. Klein	270 0.8×	160 0.7×	66 0.6×	29 0.4×	62 0.8×	30	447
Vijay R. Nadipelli	318 0.9×	211 0.9×	60 0.6×	21 0.3×	85 1.1×	28	449
Marlene Martín	266 0.8×	211 0.9×	64 0.6×	42 0.5×	51 0.7×	35	471
Shara Martel	299 0.9×	204 0.9×	75 0.7×	33 0.4×	54 0.7×	19	406

Countries citing papers authored by Philip J. Jeng

Since Specialization

Citations

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

Fields of papers citing papers by Philip J. Jeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip J. Jeng

This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Jeng. A scholar is included among the top collaborators of Philip J. Jeng 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 Philip J. Jeng. Philip J. Jeng 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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