Pavel Geier

51 total papers · 685 total citations
19 papers, 286 citations indexed

About

Pavel Geier is a scholar working on Nephrology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Pavel Geier has authored 19 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nephrology, 5 papers in Pathology and Forensic Medicine and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Pavel Geier's work include Renal Diseases and Glomerulopathies (7 papers), Pregnancy and Medication Impact (4 papers) and Vitamin D Research Studies (4 papers). Pavel Geier is often cited by papers focused on Renal Diseases and Glomerulopathies (7 papers), Pregnancy and Medication Impact (4 papers) and Vitamin D Research Studies (4 papers). Pavel Geier collaborates with scholars based in Canada, Czechia and Ireland. Pavel Geier's co-authors include Janusz Feber, Guido Filler, Blair Carpenter, Alfred Drukker, Mélise Keays, John Pike, M.P. Leonard, Luis A. Guerra, Isabelle Gaboury and Mary Ann Matzinger and has published in prestigious journals such as The Journal of Urology, American Journal of Kidney Diseases and Nephrology Dialysis Transplantation.

In The Last Decade

Pavel Geier

17 papers receiving 280 citations

Author Peers

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

Author Last Decade Papers Cites
Pavel Geier 131 100 61 60 48 19 286
Amal Al‐Eisa 111 0.8× 81 0.8× 79 1.3× 57 0.9× 58 1.2× 22 317
Arundhati S. Kale 196 1.5× 65 0.7× 72 1.2× 23 0.4× 28 0.6× 13 322
Chryso Katsoufis 140 1.1× 136 1.4× 87 1.4× 19 0.3× 51 1.1× 24 327
Lilian Johnstone 100 0.8× 86 0.9× 49 0.8× 18 0.3× 75 1.6× 15 263
Rosário Stone 191 1.5× 41 0.4× 96 1.6× 43 0.7× 81 1.7× 19 315
Marialuisa Querques 137 1.0× 31 0.3× 32 0.5× 51 0.8× 20 0.4× 13 298
Ryoko Harada 99 0.8× 57 0.6× 42 0.7× 11 0.2× 31 0.6× 23 185
Brankica Spasojević 103 0.8× 60 0.6× 87 1.4× 12 0.2× 24 0.5× 22 260
Hakan M. Poyrazoğlu 44 0.3× 84 0.8× 139 2.3× 11 0.2× 33 0.7× 15 241
Sonali Sheth 39 0.3× 110 1.1× 200 3.3× 30 0.5× 25 0.5× 12 327

Countries citing papers authored by Pavel Geier

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Geier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Geier

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