P. Philip Tan

22 total papers · 402 total citations
19 papers, 307 citations indexed

About

P. Philip Tan is a scholar working on Sociology and Political Science, General Health Professions and Demography. According to data from OpenAlex, P. Philip Tan has authored 19 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 6 papers in General Health Professions and 5 papers in Demography. Recurrent topics in P. Philip Tan's work include Retirement, Disability, and Employment (4 papers), Aging and Gerontology Research (4 papers) and Intergenerational Family Dynamics and Caregiving (3 papers). P. Philip Tan is often cited by papers focused on Retirement, Disability, and Employment (4 papers), Aging and Gerontology Research (4 papers) and Intergenerational Family Dynamics and Caregiving (3 papers). P. Philip Tan collaborates with scholars based in United States, Taiwan and China. P. Philip Tan's co-authors include Ellen B. Ryan, Wesley E. Hawkins, Catherine Chase Goodman, Merril Silverstein, Kalyani K. Mehta, Veena Joshi, A.C. Chandley, Jieping Song, Quan Bai and S. McBeath and has published in prestigious journals such as Cytogenetic and Genome Research, Journal of Homosexuality and Psychological Reports.

In The Last Decade

P. Philip Tan

18 papers receiving 257 citations

Author Peers

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

Author						Papers	Cites
P. Philip Tan	112	98	87	71	71	19	307
Irving L. Webber	94 0.8×	74 0.8×	66 0.8×	107 1.5×	85 1.2×	15	331
Henning Friis	139 1.2×	36 0.4×	40 0.5×	85 1.2×	118 1.7×	15	365
Leonard D. Cain	98 0.9×	31 0.3×	49 0.6×	42 0.6×	72 1.0×	27	276
Maria K. Pavlova	116 1.0×	113 1.2×	54 0.6×	80 1.1×	55 0.8×	31	311
Harriet L. Cohen	78 0.7×	73 0.7×	84 1.0×	56 0.8×	60 0.8×	22	305
Dorothy Jerrome	182 1.6×	40 0.4×	65 0.7×	91 1.3×	99 1.4×	23	298
Hazel MacRae	104 0.9×	54 0.6×	39 0.4×	36 0.5×	21 0.3×	14	352
Margaret Cruikshank	98 0.9×	74 0.8×	68 0.8×	23 0.3×	39 0.5×	13	240
Ljiljana Kaliterna Lipovčan	71 0.6×	99 1.0×	9 0.1×	44 0.6×	17 0.2×	40	255
Pirjo Nikander	115 1.0×	38 0.4×	82 0.9×	18 0.3×	87 1.2×	23	357

Countries citing papers authored by P. Philip Tan

Since Specialization

Citations

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

Fields of papers citing papers by P. Philip Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Philip Tan

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