W Ptak

88 total papers · 2.1k total citations
67 papers, 1.8k citations indexed

About

W Ptak is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, W Ptak has authored 67 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Immunology, 13 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Physiology. Recurrent topics in W Ptak's work include T-cell and B-cell Immunology (22 papers), Immune Cell Function and Interaction (19 papers) and Immune Response and Inflammation (12 papers). W Ptak is often cited by papers focused on T-cell and B-cell Immunology (22 papers), Immune Cell Function and Interaction (19 papers) and Immune Response and Inflammation (12 papers). W Ptak collaborates with scholars based in United States, Poland and Canada. W Ptak's co-authors include G L Asherson, Philip W. Askenase, Richard K. Gershon, Douglas R. Green, Marek Zembala, Robert W. Rosenstein, R K Gershon, Mariusz Ptak, Krzysztof Bryniarski and Janusz Marcinkiewicz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

W Ptak

64 papers receiving 1.5k citations

Hit Papers

Contact and delayed hyper... 1968 2026 1987 2006 1968 100 200 300

Author Peers

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

Author Last Decade Papers Cites
W Ptak 1.2k 310 222 211 207 67 1.8k
Darien Parker 828 0.7× 273 0.9× 135 0.6× 157 0.7× 135 0.7× 55 1.6k
R. H. Cormane 575 0.5× 503 1.6× 145 0.7× 170 0.8× 110 0.5× 94 1.7k
B. M. Stadler 1.4k 1.1× 263 0.8× 216 1.0× 502 2.4× 363 1.8× 52 2.3k
Guido Heine 670 0.6× 494 1.6× 340 1.5× 201 1.0× 300 1.4× 56 1.8k
Malin Lindstedt 847 0.7× 398 1.3× 171 0.8× 418 2.0× 302 1.5× 83 1.7k
Richard S. Kalish 802 0.7× 945 3.0× 145 0.7× 340 1.6× 227 1.1× 56 2.2k
Mamoru Kiniwa 847 0.7× 127 0.4× 393 1.8× 235 1.1× 261 1.3× 64 1.8k
Takaji Matsutani 1.3k 1.1× 201 0.6× 102 0.5× 331 1.6× 107 0.5× 62 2.2k
Xiuju Dai 564 0.5× 417 1.3× 153 0.7× 488 2.3× 139 0.7× 40 1.5k
Hans Lange 612 0.5× 162 0.5× 130 0.6× 485 2.3× 132 0.6× 49 1.5k

Countries citing papers authored by W Ptak

Since Specialization
Citations

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

Fields of papers citing papers by W Ptak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W Ptak

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