Stefan Dojcinov

51 total papers · 2.0k total citations
30 papers, 1.2k citations indexed

About

Stefan Dojcinov is a scholar working on Pathology and Forensic Medicine, Oncology and Rheumatology. According to data from OpenAlex, Stefan Dojcinov has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pathology and Forensic Medicine, 14 papers in Oncology and 8 papers in Rheumatology. Recurrent topics in Stefan Dojcinov's work include Lymphoma Diagnosis and Treatment (17 papers), Viral-associated cancers and disorders (12 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Stefan Dojcinov is often cited by papers focused on Lymphoma Diagnosis and Treatment (17 papers), Viral-associated cancers and disorders (12 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Stefan Dojcinov collaborates with scholars based in United Kingdom, United States and Germany. Stefan Dojcinov's co-authors include Elaine S. Jaffe, Stefania Pittaluga, Mark Raffeld, Girish Venkataraman, Richard Attanoos, A R Gibbs, R Webb, Leticia Quintanilla-Martı́nez, Falko Fend and Iwona Włodarska and has published in prestigious journals such as Blood, The American Journal of Surgical Pathology and British Journal of Haematology.

In The Last Decade

Stefan Dojcinov

27 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Stefan Dojcinov 689 623 223 176 168 30 1.2k
Shimareet Kumar 567 0.8× 758 1.2× 135 0.6× 98 0.6× 155 0.9× 26 1.3k
Jayashree Krishnan 396 0.6× 458 0.7× 214 1.0× 118 0.7× 144 0.9× 35 1.1k
Karen P. Mann 750 1.1× 654 1.0× 93 0.4× 117 0.7× 103 0.6× 46 1.5k
Emanuele S.G. dʼAmore 491 0.7× 908 1.5× 354 1.6× 148 0.8× 251 1.5× 60 1.5k
William R. Macon 644 0.9× 882 1.4× 94 0.4× 163 0.9× 135 0.8× 38 1.4k
S Pileri 337 0.5× 450 0.7× 180 0.8× 180 1.0× 134 0.8× 36 1.3k
TC Diss 480 0.7× 967 1.6× 331 1.5× 206 1.2× 90 0.5× 32 1.5k
S. Thomas Traweek 516 0.7× 268 0.4× 265 1.2× 156 0.9× 99 0.6× 40 1.5k
Kristin Henry 375 0.5× 537 0.9× 177 0.8× 106 0.6× 395 2.4× 29 1.4k
Elizabeth Hyjek 452 0.7× 338 0.5× 154 0.7× 182 1.0× 86 0.5× 26 1.2k

Countries citing papers authored by Stefan Dojcinov

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Dojcinov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Dojcinov

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