Peter J. Kniskern

29 total papers · 887 total citations
27 papers, 712 citations indexed

About

Peter J. Kniskern is a scholar working on Epidemiology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Peter J. Kniskern has authored 27 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 17 papers in Molecular Biology and 8 papers in Organic Chemistry. Recurrent topics in Peter J. Kniskern's work include Pneumonia and Respiratory Infections (12 papers), Glycosylation and Glycoproteins Research (8 papers) and Carbohydrate Chemistry and Synthesis (8 papers). Peter J. Kniskern is often cited by papers focused on Pneumonia and Respiratory Infections (12 papers), Glycosylation and Glycoproteins Research (8 papers) and Carbohydrate Chemistry and Synthesis (8 papers). Peter J. Kniskern collaborates with scholars based in United States, Canada and Japan. Peter J. Kniskern's co-authors include Malcolm B. Perry, James C. Richards, E.H. Eylar, J. J. Jackson, Stephen Marburg, Arpi Hagopian, Philip P. Vella, Richard L. Tolman, Ronald W. Ellis and Monique Moreau and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Peter J. Kniskern

27 papers receiving 670 citations

Author Peers

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

Author						Papers	Cites
Peter J. Kniskern	307	263	178	170	119	27	712
Rasappa Arumugham	204 0.7×	296 1.1×	98 0.6×	79 0.5×	66 0.6×	32	712
Günter Rosenfelder	123 0.4×	446 1.7×	244 1.4×	109 0.6×	103 0.9×	17	860
Yoshimi Tomita	298 1.0×	226 0.9×	110 0.6×	113 0.7×	82 0.7×	29	644
Tobias Hertlein	117 0.4×	423 1.6×	128 0.7×	194 1.1×	59 0.5×	35	820
Mahmood Ghassemi	157 0.5×	310 1.2×	145 0.8×	139 0.8×	45 0.4×	36	814
J M Willers	118 0.4×	287 1.1×	326 1.8×	55 0.3×	65 0.5×	43	738
Carol Lackman-Smith	149 0.5×	278 1.1×	83 0.5×	117 0.7×	62 0.5×	22	788
Hong Mo Moon	134 0.4×	419 1.6×	173 1.0×	141 0.8×	26 0.2×	27	714
Roberto Díez‐Martínez	126 0.4×	321 1.2×	55 0.3×	217 1.3×	45 0.4×	20	814
E Yarkoni	265 0.9×	215 0.8×	313 1.8×	53 0.3×	65 0.5×	40	861

Countries citing papers authored by Peter J. Kniskern

Since Specialization

Citations

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

Fields of papers citing papers by Peter J. Kniskern

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter J. Kniskern

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