Steven J. Kussick

57 total papers · 2.8k total citations
37 papers, 2.1k citations indexed

About

Steven J. Kussick is a scholar working on Pathology and Forensic Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Steven J. Kussick has authored 37 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pathology and Forensic Medicine, 14 papers in Oncology and 12 papers in Molecular Biology. Recurrent topics in Steven J. Kussick's work include Lymphoma Diagnosis and Treatment (11 papers), Acute Myeloid Leukemia Research (8 papers) and Viral-associated cancers and disorders (3 papers). Steven J. Kussick is often cited by papers focused on Lymphoma Diagnosis and Treatment (11 papers), Acute Myeloid Leukemia Research (8 papers) and Viral-associated cancers and disorders (3 papers). Steven J. Kussick collaborates with scholars based in United States, Canada and Brazil. Steven J. Kussick's co-authors include Brent L. Wood, Daniel Wu, Rachel Roberson, Eric Vallières, Jonathan R. Fromm, Rita M. Braziel, Michael Kalnoski, Allen M. Gown, Anthony Chang and Harry C. Hwang and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and Molecular and Cellular Biology.

In The Last Decade

Steven J. Kussick

34 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Steven J. Kussick 637 632 588 488 423 37 2.1k
A Heryet 568 0.9× 700 1.1× 386 0.7× 417 0.9× 170 0.4× 57 2.5k
Barbara Bigerna 664 1.0× 875 1.4× 930 1.6× 691 1.4× 555 1.3× 35 2.5k
Dominique Leroux 841 1.3× 879 1.4× 912 1.6× 672 1.4× 662 1.6× 74 2.4k
Mireia Camós 537 0.8× 495 0.8× 656 1.1× 573 1.2× 495 1.2× 56 1.8k
Stefan Wöhrer 677 1.1× 694 1.1× 996 1.7× 558 1.1× 413 1.0× 45 2.5k
Dianne Sako 457 0.7× 1.4k 2.2× 509 0.9× 513 1.1× 469 1.1× 32 3.2k
Shashikant Kulkarni 668 1.0× 1.1k 1.8× 533 0.9× 464 1.0× 328 0.8× 51 3.0k
C.A. Griffin 419 0.7× 797 1.3× 216 0.4× 620 1.3× 308 0.7× 41 2.1k
Abel Sánchez‐Aguilera 646 1.0× 1.0k 1.6× 509 0.9× 565 1.2× 565 1.3× 31 2.2k
Paola Francia di Celle 502 0.8× 500 0.8× 620 1.1× 283 0.6× 481 1.1× 68 1.7k

Countries citing papers authored by Steven J. Kussick

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Kussick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven J. Kussick. 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 Steven J. Kussick. The network helps show where Steven J. Kussick may publish in the future.

Co-authorship network of co-authors of Steven J. Kussick

This figure shows the co-authorship network connecting the top 25 collaborators of Steven J. Kussick. A scholar is included among the top collaborators of Steven J. Kussick 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 Steven J. Kussick. Steven J. Kussick 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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