V. Prasauskas

13 total papers · 483 total citations
7 papers, 328 citations indexed

About

V. Prasauskas is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, V. Prasauskas has authored 7 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Pathology and Forensic Medicine and 3 papers in Epidemiology. Recurrent topics in V. Prasauskas's work include Menopause: Health Impacts and Treatments (4 papers), Reproductive tract infections research (3 papers) and Phytoestrogen effects and research (3 papers). V. Prasauskas is often cited by papers focused on Menopause: Health Impacts and Treatments (4 papers), Reproductive tract infections research (3 papers) and Phytoestrogen effects and research (3 papers). V. Prasauskas collaborates with scholars based in Germany, Belgium and Switzerland. V. Prasauskas's co-authors include Philipp Grob, Werner Mendling, Olaf Ortmann, Gilbert Donders, Stefan Buchholz, Patrick Neven, Gert Bellen, Ana Palmeira‐de‐Oliveira, Anneleen Lintermans and E. R. Weissenbacher and has published in prestigious journals such as Breast Cancer Research and Treatment, European Journal of Clinical Microbiology & Infectious Diseases and Archives of Gynecology and Obstetrics.

In The Last Decade

V. Prasauskas

7 papers receiving 307 citations

Author Peers

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

Author						Papers	Cites
V. Prasauskas	116	112	90	70	63	7	328
Carol Eisenhut	91 0.8×	63 0.6×	74 0.8×	103 1.5×	36 0.6×	12	289
Petrina Rogerson	25 0.2×	18 0.2×	21 0.2×	26 0.4×	43 0.7×	6	251
S. Prabhu Anand	14 0.1×	17 0.2×	80 0.9×	18 0.3×	50 0.8×	11	320
Barbara Ottinger	34 0.3×	42 0.4×	80 0.9×	26 0.4×	48 0.8×	8	337
Melissa Kanchanapoomi	34 0.3×	15 0.1×	45 0.5×	19 0.3×	66 1.0×	5	323
Maria Tsopanomichalou	57 0.5×	19 0.2×	93 1.0×	25 0.4×	104 1.7×	14	279
Anthony L. Scarman	99 0.9×	5 0.0×	39 0.4×	59 0.8×	96 1.5×	10	361
K. Weismüller	92 0.8×	10 0.1×	37 0.4×	38 0.5×	58 0.9×	10	324
Margaret Pollack	39 0.3×	74 0.7×	123 1.4×	22 0.3×	55 0.9×	10	335
Habiba Chakir	7 0.1×	23 0.2×	46 0.5×	69 1.0×	56 0.9×	8	345

Countries citing papers authored by V. Prasauskas

Since Specialization

Citations

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

Fields of papers citing papers by V. Prasauskas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Prasauskas

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