Maciej Kabat

25 total papers · 538 total citations
10 papers, 381 citations indexed

About

Maciej Kabat is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Maciej Kabat has authored 10 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Maciej Kabat's work include Mesenchymal stem cell research (2 papers), Signaling Pathways in Disease (1 paper) and Cancer Treatment and Pharmacology (1 paper). Maciej Kabat is often cited by papers focused on Mesenchymal stem cell research (2 papers), Signaling Pathways in Disease (1 paper) and Cancer Treatment and Pharmacology (1 paper). Maciej Kabat collaborates with scholars based in United States, Guyana and India. Maciej Kabat's co-authors include Suneel Kumar, Martin Grumet, Ileana Marrero-Berríos, François Berthiaume, Melitta Schachner, Suman Jain, Joanne Babiarz, Minjuan Wang, Gabriele Loers and André Goy and has published in prestigious journals such as International Journal of Molecular Sciences, Current Pharmaceutical Design and Cancers.

In The Last Decade

Maciej Kabat

7 papers receiving 374 citations

Hit Papers

Trends in mesenchymal ste... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Maciej Kabat 227 137 121 53 42 10 381
Peter Nimiritsky 152 0.7× 117 0.9× 124 1.0× 58 1.1× 42 1.0× 15 372
Shashank Chandanala 267 1.2× 139 1.0× 115 1.0× 27 0.5× 39 0.9× 10 416
Hye Yun Jeong 222 1.0× 131 1.0× 123 1.0× 33 0.6× 47 1.1× 7 440
Jinping Bai 242 1.1× 169 1.2× 121 1.0× 33 0.6× 24 0.6× 13 398
Navita Gupta 213 0.9× 126 0.9× 114 0.9× 39 0.7× 44 1.0× 13 446
Sanga Gehmert 212 0.9× 106 0.8× 164 1.4× 68 1.3× 47 1.1× 10 412
Lipi Shukla 137 0.6× 98 0.7× 181 1.5× 42 0.8× 30 0.7× 18 391
Alessandra Martire 172 0.8× 124 0.9× 109 0.9× 34 0.6× 24 0.6× 8 370
S. Vijayalakshmi 184 0.8× 164 1.2× 100 0.8× 40 0.8× 46 1.1× 5 388
Luis Rodriguez 220 1.0× 99 0.7× 100 0.8× 36 0.7× 26 0.6× 19 368

Countries citing papers authored by Maciej Kabat

Since Specialization
Citations

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

Fields of papers citing papers by Maciej Kabat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciej Kabat

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