Tessa Grabinski

20 total papers · 792 total citations
15 papers, 538 citations indexed

About

Tessa Grabinski is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tessa Grabinski has authored 15 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tessa Grabinski's work include Alzheimer's disease research and treatments (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Tessa Grabinski is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Tessa Grabinski collaborates with scholars based in United States, China and Japan. Tessa Grabinski's co-authors include Nicholas M. Kanaan, Benjamin Combs, Fredric P. Manfredsson, Andrew Kneynsberg, Brian Cao, Ping Zhao, Rick V. Hay, Milton D. Gross, Jin Zhu and Eric A. Hudson and has published in prestigious journals such as Nature Communications, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Tessa Grabinski

15 papers receiving 534 citations

Hit Papers

Liquid-liquid phase separ... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Tessa Grabinski 339 126 65 54 47 15 538
Jill A. Opsahl 284 0.8× 108 0.9× 54 0.8× 44 0.8× 78 1.7× 13 543
Richard Altman 270 0.8× 276 2.2× 50 0.8× 93 1.7× 24 0.5× 12 470
Michelle Botelho Caarls 313 0.9× 147 1.2× 100 1.5× 55 1.0× 92 2.0× 16 564
Natalya Merezhinskaya 288 0.8× 118 0.9× 52 0.8× 80 1.5× 59 1.3× 14 586
Karen Duong‐Polk 381 1.1× 78 0.6× 74 1.1× 29 0.5× 45 1.0× 16 598
Jill Marcus 295 0.9× 131 1.0× 172 2.6× 70 1.3× 44 0.9× 12 550
Wiktor Jurkowski 351 1.0× 56 0.4× 89 1.4× 37 0.7× 66 1.4× 18 489
Kathryn Louie 272 0.8× 62 0.5× 60 0.9× 72 1.3× 43 0.9× 10 451
Dae-Hoon Lee 289 0.9× 144 1.1× 68 1.0× 155 2.9× 61 1.3× 9 472
Alessia Indrieri 423 1.2× 60 0.5× 43 0.7× 36 0.7× 61 1.3× 19 618

Countries citing papers authored by Tessa Grabinski

Since Specialization
Citations

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

Fields of papers citing papers by Tessa Grabinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tessa Grabinski

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