Roberta S. Batorsky

20 total papers · 969 total citations
2 papers, 60 citations indexed

About

Roberta S. Batorsky is a scholar working on Organic Chemistry, Molecular Biology and Oncology. According to data from OpenAlex, Roberta S. Batorsky has authored 2 papers receiving a total of 60 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Organic Chemistry, 1 paper in Molecular Biology and 1 paper in Oncology. Recurrent topics in Roberta S. Batorsky's work include Microtubule and mitosis dynamics (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Protein purification and stability (1 paper). Roberta S. Batorsky is often cited by papers focused on Microtubule and mitosis dynamics (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Protein purification and stability (1 paper). Roberta S. Batorsky collaborates with scholars based in United States, Japan and Germany. Roberta S. Batorsky's co-authors include Kyoung S. Kim, Songfeng Lu, David Williams, John S. Sack, Janet G. Mulheron, Raj N. Misra, S. David Kimball, Francis Y. Lee, Kevin R. Webster and Kristen Keller and has published in prestigious journals such as Bioorganic & Medicinal Chemistry Letters and Journal of Protein Chemistry.

In The Last Decade

Roberta S. Batorsky

2 papers receiving 59 citations

Author Peers

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

Author						Papers	Cites
Roberta S. Batorsky	40	20	12	12	7	2	60
Anil Chhabra	25 0.6×	20 1.0×	9 0.8×	12 1.0×	8 1.1×	2	68
Petr Knesl	40 1.0×	21 1.1×	17 1.4×	5 0.4×	13 1.9×	2	55
Subarna Shakya	24 0.6×	34 1.7×	20 1.7×	17 1.4×	1 0.1×	3	63
Julia Suchomel	10 0.3×	21 1.1×	32 2.7×	18 1.5×	7 1.0×	4	71
Carmen N. García-Irizarry	75 1.9×	55 2.8×	12 1.0×	5 0.4×	2 0.3×	4	93
Gonghua Pan	27 0.7×	61 3.0×	5 0.4×	5 0.4×	2 0.3×	3	87
Jason Ewanicki	33 0.8×	21 1.1×	6 0.5×	2 0.2×	7 1.0×	3	52
Hai L. Tran	42 1.1×	58 2.9×	19 1.6×	16 1.3×		2	80
Kirsten M. Kahler	23 0.6×	17 0.8×	7 0.6×	5 0.4×		2	46
Janet Gunzner-Toste	20 0.5×	50 2.5×	22 1.8×	17 1.4×	1 0.1×	2	86

Countries citing papers authored by Roberta S. Batorsky

Since Specialization

Citations

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

Fields of papers citing papers by Roberta S. Batorsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberta S. Batorsky

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