Katrin Gross‐Paju

74 total papers · 2.7k total citations
31 papers, 460 citations indexed

About

Katrin Gross‐Paju is a scholar working on Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Katrin Gross‐Paju has authored 31 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pathology and Forensic Medicine, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Neurology. Recurrent topics in Katrin Gross‐Paju's work include Multiple Sclerosis Research Studies (10 papers), Hereditary Neurological Disorders (6 papers) and Neurogenetic and Muscular Disorders Research (5 papers). Katrin Gross‐Paju is often cited by papers focused on Multiple Sclerosis Research Studies (10 papers), Hereditary Neurological Disorders (6 papers) and Neurogenetic and Muscular Disorders Research (5 papers). Katrin Gross‐Paju collaborates with scholars based in Estonia, France and United Kingdom. Katrin Gross‐Paju's co-authors include Sulev Haldre, Tiina Talvik, Mark Braschinsky, Aleksander Pulver, Tõnu Rätsep, Pille Kool, Kalle Kisand, Raivo Uibo, Kristi Alnek and D L McLellan and has published in prestigious journals such as PLoS ONE, Journal of Neurology Neurosurgery & Psychiatry and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

Katrin Gross‐Paju

27 papers receiving 442 citations

Author Peers

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

Author Last Decade Papers Cites
Katrin Gross‐Paju 163 119 104 100 64 31 460
Barbara Willekens 183 1.1× 138 1.2× 74 0.7× 45 0.5× 27 0.4× 47 551
Yakup Sarıca 162 1.0× 159 1.3× 149 1.4× 38 0.4× 45 0.7× 33 504
M. Chris Runken 188 1.2× 74 0.6× 319 3.1× 46 0.5× 45 0.7× 45 543
Margarita Vallès 256 1.6× 153 1.3× 38 0.4× 48 0.5× 28 0.4× 26 498
Gordon Stark 38 0.2× 60 0.5× 42 0.4× 157 1.6× 57 0.9× 32 505
Marcus Vinícius Magno Gonçalves 223 1.4× 123 1.0× 57 0.5× 30 0.3× 7 0.1× 54 463
Cyrus Boelman 104 0.6× 51 0.4× 143 1.4× 102 1.0× 18 0.3× 25 486
E H Jellinek 72 0.4× 125 1.1× 36 0.3× 48 0.5× 6 0.1× 26 506
José Vale 113 0.7× 178 1.5× 91 0.9× 148 1.5× 4 0.1× 35 450
Rajesh Kumar Singh 29 0.2× 111 0.9× 66 0.6× 27 0.3× 26 0.4× 49 425

Countries citing papers authored by Katrin Gross‐Paju

Since Specialization
Citations

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

Fields of papers citing papers by Katrin Gross‐Paju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katrin Gross‐Paju. 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 Katrin Gross‐Paju. The network helps show where Katrin Gross‐Paju may publish in the future.

Co-authorship network of co-authors of Katrin Gross‐Paju

This figure shows the co-authorship network connecting the top 25 collaborators of Katrin Gross‐Paju. A scholar is included among the top collaborators of Katrin Gross‐Paju 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 Katrin Gross‐Paju. Katrin Gross‐Paju 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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