Rand S. Schwartz

20 total papers · 491 total citations
15 papers, 372 citations indexed

About

Rand S. Schwartz is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology and Plant Science. According to data from OpenAlex, Rand S. Schwartz has authored 15 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, Evolution, Behavior and Systematics, 7 papers in Molecular Biology and 5 papers in Plant Science. Recurrent topics in Rand S. Schwartz's work include Fungal Plant Pathogen Control (8 papers), Nausea and vomiting management (2 papers) and Fungal and yeast genetics research (2 papers). Rand S. Schwartz is often cited by papers focused on Fungal Plant Pathogen Control (8 papers), Nausea and vomiting management (2 papers) and Fungal and yeast genetics research (2 papers). Rand S. Schwartz collaborates with scholars based in United States and Sweden. Rand S. Schwartz's co-authors include William J. Evans, Douglas B. Jordan, Gregory S. Basarab, Z. Wawrzak, John J. Bisaha, Jeffrey A. Sternberg, Keith E. Duncan, Robert S. Livingston, Stephen O. Pember and Xiao-Song Tang and has published in prestigious journals such as Biochemistry, The Journals of Gerontology Series A and Bioorganic & Medicinal Chemistry.

In The Last Decade

Rand S. Schwartz

13 papers receiving 355 citations

Author Peers

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

Author						Papers	Cites
Rand S. Schwartz	127	83	82	81	73	15	372
Fátima Martins	43 0.3×	32 0.4×	205 2.5×	38 0.5×	146 2.0×	26	367
Donrawee Leelarungrayub	110 0.9×	64 0.8×	153 1.9×	12 0.1×	64 0.9×	11	422
Armindo Antônio Alves	112 0.9×	117 1.4×	20 0.2×	6 0.1×	88 1.2×	22	445
Maria Fernanda Mânica-Cattani	139 1.1×	46 0.6×	83 1.0×	10 0.1×	14 0.2×	18	393
Richard H. Smith	94 0.7×	76 0.9×	18 0.2×	18 0.2×	67 0.9×	13	371
Miriéle Cristina Ferraz	114 0.9×	27 0.3×	71 0.9×	12 0.1×	11 0.2×	7	412
Dayanne Mozaner Bordin	44 0.3×	20 0.2×	32 0.4×	22 0.3×	33 0.5×	22	346
Stefano Scoglio	122 1.0×	43 0.5×	33 0.4×	72 0.9×	8 0.1×	17	412
Shene-Pin Hu	76 0.6×	46 0.6×	82 1.0×	7 0.1×	23 0.3×	12	378
Jorge Estrada-Álvarez	101 0.8×	22 0.3×	33 0.4×	44 0.5×	12 0.2×	8	380

Countries citing papers authored by Rand S. Schwartz

Since Specialization

Citations

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

Fields of papers citing papers by Rand S. Schwartz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rand S. Schwartz. 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 Rand S. Schwartz. The network helps show where Rand S. Schwartz may publish in the future.

Co-authorship network of co-authors of Rand S. Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Rand S. Schwartz. A scholar is included among the top collaborators of Rand S. Schwartz 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 Rand S. Schwartz. Rand S. Schwartz 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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