Inna Vainshtein

75 total papers · 762 total citations
26 papers, 505 citations indexed

About

Inna Vainshtein is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology. According to data from OpenAlex, Inna Vainshtein has authored 26 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Immunology and 12 papers in Molecular Biology. Recurrent topics in Inna Vainshtein's work include Monoclonal and Polyclonal Antibodies Research (14 papers), T-cell and B-cell Immunology (6 papers) and Toxin Mechanisms and Immunotoxins (6 papers). Inna Vainshtein is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (14 papers), T-cell and B-cell Immunology (6 papers) and Toxin Mechanisms and Immunotoxins (6 papers). Inna Vainshtein collaborates with scholars based in United States, Slovakia and Canada. Inna Vainshtein's co-authors include Meina Liang, Lorin Roskos, Amy Schneider, Martin Schwickart, Raffaella Faggioni, Jackie Cheng, Richard A. Roth, Matthew A. Sleeman, Hong Lü and Richard M. Eglen and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Inna Vainshtein

26 papers receiving 458 citations

Author Peers

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

Author Last Decade Papers Cites
Inna Vainshtein 219 210 209 136 117 26 505
Fabian Richter 129 0.6× 175 0.8× 211 1.0× 55 0.4× 127 1.1× 23 449
Taichi Sekine 196 0.9× 87 0.4× 178 0.9× 202 1.5× 58 0.5× 27 564
Anwar Murtaza 297 1.4× 254 1.2× 284 1.4× 31 0.2× 152 1.3× 13 593
Johanna Stéen 162 0.7× 187 0.9× 189 0.9× 180 1.3× 46 0.4× 24 511
Richard P. McCabe 176 0.8× 314 1.5× 247 1.2× 37 0.3× 131 1.1× 26 606
Elena Luison 107 0.5× 224 1.1× 246 1.2× 22 0.2× 166 1.4× 22 532
J.P. Salier 141 0.6× 84 0.4× 259 1.2× 44 0.3× 36 0.3× 30 538
Jijie Gu 211 1.0× 449 2.1× 368 1.8× 22 0.2× 203 1.7× 17 600
P. Kumar Rao 51 0.2× 123 0.6× 162 0.8× 149 1.1× 74 0.6× 33 612
Xiaoli Hui 81 0.4× 106 0.5× 218 1.0× 30 0.2× 186 1.6× 16 476

Countries citing papers authored by Inna Vainshtein

Since Specialization
Citations

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

Fields of papers citing papers by Inna Vainshtein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inna Vainshtein

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