Bram Piersma

12 total papers · 1.4k total citations
9 papers, 1.0k citations indexed

About

Bram Piersma is a scholar working on Cell Biology, Surgery and Molecular Biology. According to data from OpenAlex, Bram Piersma has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cell Biology, 4 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Bram Piersma's work include Hippo pathway signaling and YAP/TAZ (4 papers), Genital Health and Disease (4 papers) and Connective tissue disorders research (2 papers). Bram Piersma is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (4 papers), Genital Health and Disease (4 papers) and Connective tissue disorders research (2 papers). Bram Piersma collaborates with scholars based in Netherlands, Germany and United States. Bram Piersma's co-authors include Ruud A. Bank, Mary-Kate Hayward, Valerie M. Weaver, Miriam Boersema, Paul M. N. Werker, Marike Marjolijn van Beuge, Stellar Boo, Boris Hinz, Rutger A. F. Gjaltema and Igle J. de Jong and has published in prestigious journals such as Nature Communications, Scientific Reports and American Journal Of Pathology.

In The Last Decade

Bram Piersma

9 papers receiving 1.0k citations

Hit Papers

Fibrosis and cancer: A st... 2015 2026 2018 2022 2020 2015 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Bram Piersma 399 290 262 145 144 9 1.0k
Dimitra Manou 439 1.1× 295 1.0× 236 0.9× 86 0.6× 204 1.4× 15 1.2k
Vincent Sarrazy 357 0.9× 257 0.9× 218 0.8× 177 1.2× 216 1.5× 19 1.2k
Bernard Martin 476 1.2× 158 0.5× 203 0.8× 96 0.7× 137 1.0× 12 1.1k
Franco Klingberg 371 0.9× 253 0.9× 128 0.5× 216 1.5× 217 1.5× 6 1.1k
Brian A. MacDonald 387 1.0× 165 0.6× 231 0.9× 66 0.5× 85 0.6× 13 919
Maria E. Vega 439 1.1× 162 0.6× 284 1.1× 91 0.6× 183 1.3× 18 812
Minlong Shi 546 1.4× 132 0.5× 199 0.8× 128 0.9× 94 0.7× 7 1.1k
Jacqueline Murray 652 1.6× 242 0.8× 184 0.7× 74 0.5× 169 1.2× 16 1.2k
Marcus Otte 804 2.0× 173 0.6× 338 1.3× 99 0.7× 170 1.2× 10 1.1k
Martti Maimets 427 1.1× 271 0.9× 425 1.6× 107 0.7× 169 1.2× 18 1.2k

Countries citing papers authored by Bram Piersma

Since Specialization
Citations

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

Fields of papers citing papers by Bram Piersma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bram Piersma

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