Maciej Tarnowski

163 total papers · 2.7k total citations
119 papers, 2.1k citations indexed

About

Maciej Tarnowski is a scholar working on Molecular Biology, Obstetrics and Gynecology and Genetics. According to data from OpenAlex, Maciej Tarnowski has authored 119 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 20 papers in Obstetrics and Gynecology and 19 papers in Genetics. Recurrent topics in Maciej Tarnowski's work include Gestational Diabetes Research and Management (18 papers), Pancreatic function and diabetes (11 papers) and Epigenetics and DNA Methylation (8 papers). Maciej Tarnowski is often cited by papers focused on Gestational Diabetes Research and Management (18 papers), Pancreatic function and diabetes (11 papers) and Epigenetics and DNA Methylation (8 papers). Maciej Tarnowski collaborates with scholars based in Poland, United States and Czechia. Maciej Tarnowski's co-authors include Mariusz Z. Ratajczak, Magda Kucia, Irena Baranowska‐Bosiacka, Janina Ratajczak, Violetta Dziedziejko, Andrzej Pawlik, Dariusz Chlubek, Katarzyna Grymuła, Katarzyna Piotrowska and Krzysztof Safranow and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Brain Research.

In The Last Decade

Maciej Tarnowski

113 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Maciej Tarnowski 689 393 390 189 159 119 2.1k
Bo Xu 746 1.1× 387 1.0× 389 1.0× 247 1.3× 359 2.3× 145 2.9k
Ke Huang 459 0.7× 296 0.8× 256 0.7× 159 0.8× 233 1.5× 132 1.8k
Hiroshi Kogo 487 0.7× 223 0.6× 364 0.9× 240 1.3× 106 0.7× 101 1.8k
Xiumin Wang 589 0.9× 273 0.7× 188 0.5× 178 0.9× 128 0.8× 117 1.6k
Yoshishige Urata 1.3k 1.9× 260 0.7× 214 0.5× 295 1.6× 205 1.3× 70 2.6k
Mitsuyasu Itoh 564 0.8× 174 0.4× 191 0.5× 340 1.8× 278 1.7× 109 2.2k
Da Li 1.2k 1.7× 242 0.6× 365 0.9× 194 1.0× 243 1.5× 152 3.0k
Yiying Wang 570 0.8× 192 0.5× 110 0.3× 202 1.1× 131 0.8× 136 1.7k
Madan M. Godbole 974 1.4× 183 0.5× 149 0.4× 235 1.2× 153 1.0× 72 2.4k
Shinji Goto 1.4k 2.1× 333 0.8× 263 0.7× 265 1.4× 405 2.5× 97 3.0k

Countries citing papers authored by Maciej Tarnowski

Since Specialization
Citations

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

Fields of papers citing papers by Maciej Tarnowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciej Tarnowski

This figure shows the co-authorship network connecting the top 25 collaborators of Maciej Tarnowski. A scholar is included among the top collaborators of Maciej Tarnowski 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 Tarnowski. Maciej Tarnowski 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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2026