Vera Weinstein

26 papers receiving 486 citations

Peers

Vera Weinstein
Comparison fields: 5 of 102
  • Immunology 111
  • Pharmaceutical Science 28
  • Biomaterials 60
  • Hematology 43
  • Economics and Econometrics 87
Replace H. R. Prasanna with:
H. R. Prasanna United States
Shyam S. Agarwal India
Wafa Harrouk United States
Dwaipayan Mukherjee United States
Matthias Festag Switzerland
Wei Duan China
Michael V. Templin United States
Enrique Vázquez Spain
Shahida Khan Saudi Arabia
Luka Peternel Slovenia
Vera Weinstein relative to H. R. Prasanna United States H. R. Prasanna's profile →
Citations per field
00.5×6.7×
H. R. Prasanna · 1×
Citations per year

Countries citing papers authored by Vera Weinstein

Since Specialization
Citations

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

Fields of papers citing papers by Vera Weinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vera Weinstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vera Weinstein Line = papers co-authored together Vera Weinstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201374
2 201761
3 200955
4 201555
5 201344
6 196430
7 199221
8 196321
9 199219
10 199218
11 201316
12 199213
13 199713
14 198610
15 199010
16 19879
17 19708
18 20158
19 20197
20 20176

About Vera Weinstein

Vera Weinstein is a scholar working on Spectroscopy, Immunology, Economics and Econometrics, Molecular Biology and Plant Science, having authored 26 papers that have together received 521 indexed citations. Recurring topics across this work include Molecular spectroscopy and chirality (6 papers), Analytical Chemistry and Chromatography (6 papers), Pharmaceutical Economics and Policy (5 papers), Biosimilars and Bioanalytical Methods (5 papers), Phytochemistry and Biological Activities (3 papers), Animal Ecology and Behavior Studies (2 papers), Computational Drug Discovery Methods (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Immunology (111 citations), Pharmaceutical Science (28 citations), Biomaterials (60 citations), Hematology (43 citations) and Economics and Econometrics (87 citations). Vera Weinstein has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Stefan Mühlebach, Vinod P. Shah, Daan J.A. Crommelin, Jon S. B. de Vlieger, Raphael Ikan, Beat Flühmann, Uzi Ravid, Huub Schellekens, E. Putievsky and Scott E. McNeil. Their work appears in journals such as Flavour and Fragrance Journal, Generics and Biosimilars Initiative Journal, Annals of the New York Academy of Sciences, The AAPS Journal and Journal of neurosurgery.

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.

Explore authors with similar magnitude of impact