Ümit Tapan

78 total papers · 680 total citations
39 papers, 422 citations indexed

About

Ümit Tapan is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Ümit Tapan has authored 39 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 11 papers in Pulmonary and Respiratory Medicine and 8 papers in Molecular Biology. Recurrent topics in Ümit Tapan's work include Lung Cancer Treatments and Mutations (7 papers), Lung Cancer Research Studies (6 papers) and Global Cancer Incidence and Screening (6 papers). Ümit Tapan is often cited by papers focused on Lung Cancer Treatments and Mutations (7 papers), Lung Cancer Research Studies (6 papers) and Global Cancer Incidence and Screening (6 papers). Ümit Tapan collaborates with scholars based in United States, Türkiye and United Kingdom. Ümit Tapan's co-authors include Servet Tatlı, Paul R. Morrison, Stuart G. Silverman, Kimberley S. Mak, Jerome B. Zeldis, Salli Fennessey, David C. Seldin, Vaishali Sanchorawala, Anthony C Shelton and Kathleen T. Finn and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Blood.

In The Last Decade

Ümit Tapan

37 papers receiving 415 citations

Author Peers

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

Author						Papers	Cites
Ümit Tapan	176	120	116	61	55	39	422
Stuart Toledano	96 0.5×	104 0.9×	144 1.2×	81 1.3×	44 0.8×	32	466
Nurdan Taçyıldız	140 0.8×	93 0.8×	114 1.0×	78 1.3×	64 1.2×	42	489
Sze Chai Chan	126 0.7×	103 0.9×	97 0.8×	75 1.2×	53 1.0×	31	469
Ayşe Nur Demiral	140 0.8×	68 0.6×	195 1.7×	66 1.1×	33 0.6×	30	400
Gina Villani	214 1.2×	67 0.6×	133 1.1×	49 0.8×	32 0.6×	24	455
Tanya Watt	107 0.6×	118 1.0×	81 0.7×	34 0.6×	53 1.0×	23	469
S. Caldiera	173 1.0×	90 0.8×	145 1.3×	51 0.8×	44 0.8×	22	467
Hiroyuki Watanabe	217 1.2×	67 0.6×	93 0.8×	71 1.2×	55 1.0×	37	410
Sireesha Yedururi	101 0.6×	76 0.6×	128 1.1×	96 1.6×	47 0.9×	38	382
Ping‐Tsung Chen	198 1.1×	69 0.6×	124 1.1×	120 2.0×	42 0.8×	35	432

Countries citing papers authored by Ümit Tapan

Since Specialization

Citations

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

Fields of papers citing papers by Ümit Tapan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ümit Tapan

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