Leonard J. Schiff

86 total papers · 933 total citations
49 papers, 691 citations indexed

About

Leonard J. Schiff is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Leonard J. Schiff has authored 49 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Epidemiology. Recurrent topics in Leonard J. Schiff's work include Retinoids in leukemia and cellular processes (7 papers), Respiratory viral infections research (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Leonard J. Schiff is often cited by papers focused on Retinoids in leukemia and cellular processes (7 papers), Respiratory viral infections research (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Leonard J. Schiff collaborates with scholars based in United States, Netherlands and Canada. Leonard J. Schiff's co-authors include Marcia I. Dawson, Peter D. Hobbs, Judith A. Graham, Rebecca L. Chan, Stephen C. Schmechel, Ross M. Kedl, Steven Moore, Kevin C. Taylor, Margaret M. Byrne and Fred W. McLafferty and has published in prestigious journals such as Journal of the American Chemical Society, Cancer and Journal of Virology.

In The Last Decade

Leonard J. Schiff

45 papers receiving 614 citations

Author Peers

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

Author						Papers	Cites
Leonard J. Schiff	230	133	76	75	62	49	691
Eriko Kudo	218 0.9×	42 0.3×	86 1.1×	63 0.8×	122 2.0×	26	789
Carol A. Baker	149 0.6×	49 0.4×	39 0.5×	26 0.3×	85 1.4×	29	672
Stella Baliou	236 1.0×	35 0.3×	19 0.3×	25 0.3×	64 1.0×	48	646
T. Sato	334 1.5×	93 0.7×	105 1.4×	140 1.9×	26 0.4×	46	792
Mariarita Brancaccio	194 0.8×	27 0.2×	38 0.5×	21 0.3×	44 0.7×	30	647
Xiaoyu Fang	159 0.7×	66 0.5×	114 1.5×	9 0.1×	235 3.8×	36	750
Sinyoung Park	277 1.2×	64 0.5×	46 0.6×	20 0.3×	48 0.8×	42	787
Alessandra Scano	113 0.5×	20 0.2×	39 0.5×	23 0.3×	36 0.6×	63	570
Tom Chen	291 1.3×	43 0.3×	35 0.5×	31 0.4×	58 0.9×	41	619
Eun‐Sook Park	200 0.9×	75 0.6×	17 0.2×	27 0.4×	57 0.9×	65	748

Countries citing papers authored by Leonard J. Schiff

Since Specialization

Citations

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

Fields of papers citing papers by Leonard J. Schiff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard J. Schiff

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