Phillip Kang

25 total papers · 414 total citations
14 papers, 332 citations indexed

About

Phillip Kang is a scholar working on Public Health, Environmental and Occupational Health, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Phillip Kang has authored 14 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Public Health, Environmental and Occupational Health, 4 papers in Immunology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Phillip Kang's work include IL-33, ST2, and ILC Pathways (4 papers), Opioid Use Disorder Treatment (3 papers) and Forensic Toxicology and Drug Analysis (3 papers). Phillip Kang is often cited by papers focused on IL-33, ST2, and ILC Pathways (4 papers), Opioid Use Disorder Treatment (3 papers) and Forensic Toxicology and Drug Analysis (3 papers). Phillip Kang collaborates with scholars based in United States, Denmark and Russia. Phillip Kang's co-authors include Sergei P. Atamas, Virginia Lockatell, Irina G. Luzina, Nevins W. Todd, Sanjay Kumar, David V. Schaffer, Edward M. Pickering, Allen Burke, Jeffrey D. Hasday and Ashish Nagarsekar and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Molecular Biology of the Cell.

In The Last Decade

Phillip Kang

10 papers receiving 328 citations

Author Peers

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

Author						Papers	Cites
Phillip Kang	177	113	93	63	41	14	332
Eric Scott	88 0.5×	76 0.7×	51 0.5×	100 1.6×	41 1.0×	14	346
Sushmita Chakraborty	124 0.7×	39 0.3×	65 0.7×	81 1.3×	38 0.9×	22	344
Ross Mills	179 1.0×	37 0.3×	64 0.7×	105 1.7×	49 1.2×	12	336
Junji Kamogawa	131 0.7×	85 0.8×	33 0.4×	72 1.1×	19 0.5×	17	337
Erika Conforti	72 0.4×	80 0.7×	26 0.3×	166 2.6×	72 1.8×	14	329
Noëmie Pörtner	129 0.7×	37 0.3×	39 0.4×	125 2.0×	34 0.8×	21	313
P C de Wilde	116 0.7×	90 0.8×	25 0.3×	62 1.0×	54 1.3×	11	359
Natasja K. van den Engel	137 0.8×	51 0.5×	36 0.4×	67 1.1×	30 0.7×	16	304
Rima Sulniute	46 0.3×	52 0.5×	43 0.5×	89 1.4×	24 0.6×	10	333
Rustam Bagirzadeh	70 0.4×	37 0.3×	115 1.2×	113 1.8×	23 0.6×	11	294

Countries citing papers authored by Phillip Kang

Since Specialization

Citations

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

Fields of papers citing papers by Phillip Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip Kang

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