Peter Pavlidakey

62 total papers · 470 total citations
43 papers, 277 citations indexed

About

Peter Pavlidakey is a scholar working on Oncology, Pathology and Forensic Medicine and Dermatology. According to data from OpenAlex, Peter Pavlidakey has authored 43 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 12 papers in Pathology and Forensic Medicine and 10 papers in Dermatology. Recurrent topics in Peter Pavlidakey's work include Cutaneous Melanoma Detection and Management (6 papers), Histiocytic Disorders and Treatments (4 papers) and Cutaneous lymphoproliferative disorders research (4 papers). Peter Pavlidakey is often cited by papers focused on Cutaneous Melanoma Detection and Management (6 papers), Histiocytic Disorders and Treatments (4 papers) and Cutaneous lymphoproliferative disorders research (4 papers). Peter Pavlidakey collaborates with scholars based in United States. Peter Pavlidakey's co-authors include Gregory T. MacLennan, Naveed Sami, Stephen E. Helms, John D. Miedler, Howard Meyerson, Amad Awadallah, Kevin D. Cooper, Edward Chen, K. Honda and José Tallaj and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Urology and Clinical Orthopaedics and Related Research.

In The Last Decade

Peter Pavlidakey

38 papers receiving 274 citations

Author Peers

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

Author						Papers	Cites
Peter Pavlidakey	103	91	74	50	48	43	277
Young C. Kauh	91 0.9×	151 1.7×	70 0.9×	56 1.1×	52 1.1×	21	307
Brett Sloan	67 0.7×	103 1.1×	61 0.8×	35 0.7×	100 2.1×	32	318
W Nikolowski	61 0.6×	161 1.8×	61 0.8×	55 1.1×	70 1.5×	56	300
Sandy Milgraum	40 0.4×	145 1.6×	66 0.9×	59 1.2×	69 1.4×	33	303
Judit Hársing	65 0.6×	119 1.3×	94 1.3×	23 0.5×	93 1.9×	40	329
Pedro Jaén Olásolo	42 0.4×	91 1.0×	61 0.8×	102 2.0×	40 0.8×	37	302
Hae‐Woong Lee	72 0.7×	182 2.0×	26 0.4×	46 0.9×	58 1.2×	30	321
Emily Avitan‐Hersh	40 0.4×	86 0.9×	48 0.6×	42 0.8×	46 1.0×	47	288
Rajalakshmi Tirumalae	43 0.4×	118 1.3×	92 1.2×	29 0.6×	84 1.8×	38	247
Keiko Miura	79 0.8×	67 0.7×	40 0.5×	59 1.2×	42 0.9×	55	327

Countries citing papers authored by Peter Pavlidakey

Since Specialization

Citations

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

Fields of papers citing papers by Peter Pavlidakey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Pavlidakey

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