J. J. Sedmak

38 total papers · 3.9k total citations
36 papers, 3.5k citations indexed

About

J. J. Sedmak is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J. J. Sedmak has authored 36 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Immunology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J. J. Sedmak's work include Monoclonal and Polyclonal Antibodies Research (10 papers), Protein purification and stability (5 papers) and Immune Response and Inflammation (5 papers). J. J. Sedmak is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), Protein purification and stability (5 papers) and Immune Response and Inflammation (5 papers). J. J. Sedmak collaborates with scholars based in United States. J. J. Sedmak's co-authors include Sidney E. Grossberg, Setsuko O. Jolly, Deepthi K. Weerasinghe, Vladimir M. Kushnaryov, J L Sabran, Charles J. Epstein, Lois B. Epstein, Jon Weil, Robert F. Ramaley and David G. Lange and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

J. J. Sedmak

36 papers receiving 3.2k citations

Hit Papers

A rapid, sensitive, and v... 1977 2026 1993 2009 1977 500 1000 1.5k 2.0k 2.5k

Author Peers

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

Author Last Decade Papers Cites
J. J. Sedmak 1.7k 723 384 303 272 36 3.5k
Jochen Heukeshoven 2.0k 1.2× 458 0.6× 323 0.8× 213 0.7× 430 1.6× 34 3.4k
Kanyawim Kirtikara 2.0k 1.2× 697 1.0× 230 0.6× 324 1.1× 549 2.0× 48 4.7k
Donald R. Kirsch 2.9k 1.7× 509 0.7× 288 0.8× 244 0.8× 337 1.2× 36 5.1k
Elbert A. Peterson 2.3k 1.4× 541 0.7× 242 0.6× 162 0.5× 176 0.6× 82 4.3k
An S. Tan 1.8k 1.1× 348 0.5× 361 0.9× 139 0.5× 338 1.2× 29 4.2k
Francisco J. Alonso 2.2k 1.3× 488 0.7× 261 0.7× 289 1.0× 300 1.1× 65 4.1k
Akiyasu C. Yoshizawa 2.9k 1.7× 981 1.4× 333 0.9× 189 0.6× 103 0.4× 33 4.5k
Luke L. Lairson 3.2k 1.9× 344 0.5× 493 1.3× 470 1.6× 334 1.2× 62 4.6k
Wayne W. Fish 1.7k 1.0× 654 0.9× 138 0.4× 179 0.6× 147 0.5× 64 3.5k
Zhipeng Wang 2.2k 1.3× 465 0.6× 184 0.5× 363 1.2× 328 1.2× 102 3.4k

Countries citing papers authored by J. J. Sedmak

Since Specialization
Citations

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

Fields of papers citing papers by J. J. Sedmak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. J. Sedmak

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