Sebastian Doll

33 total papers · 13.6k total citations
13 papers, 968 citations indexed

About

Sebastian Doll is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sebastian Doll has authored 13 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 6 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sebastian Doll's work include Ferroptosis and cancer prognosis (6 papers), Cancer, Lipids, and Metabolism (5 papers) and RNA modifications and cancer (2 papers). Sebastian Doll is often cited by papers focused on Ferroptosis and cancer prognosis (6 papers), Cancer, Lipids, and Metabolism (5 papers) and RNA modifications and cancer (2 papers). Sebastian Doll collaborates with scholars based in Germany, United States and Japan. Sebastian Doll's co-authors include Marcus Conrad, Ricardo Fabiano Hettwer Giehl, Hans‐Peter Mock, Xiao Kong, Robert C. Hider, Nicolaus von Wirén, Nadine Strehmel, Nadine Schmid, Dierk Scheel and José Pedro Friedmann Angeli and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Reviews Molecular Cell Biology.

In The Last Decade

Sebastian Doll

12 papers receiving 963 citations

Hit Papers

Iron and ferroptosis: A s... 2017 2026 2020 2023 2017 2021 2025 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
Sebastian Doll 480 458 360 226 103 13 968
Michael Kerins 703 1.5× 407 0.9× 328 0.9× 30 0.1× 89 0.9× 14 1.0k
Genchun Wang 592 1.2× 277 0.6× 423 1.2× 32 0.1× 56 0.5× 17 960
Youwei Ai 532 1.1× 412 0.9× 327 0.9× 49 0.2× 40 0.4× 30 945
Xuemeng Han 599 1.2× 451 1.0× 408 1.1× 46 0.2× 29 0.3× 12 1.0k
J. Szymańska 336 0.7× 198 0.4× 206 0.6× 59 0.3× 53 0.5× 22 877
Kai Wang 299 0.6× 359 0.8× 244 0.7× 43 0.2× 229 2.2× 9 815
Kai Sun 627 1.3× 305 0.7× 442 1.2× 36 0.2× 65 0.6× 22 1.2k
Hye-Jin Jang 598 1.2× 399 0.9× 344 1.0× 49 0.2× 35 0.3× 19 1.0k
Chen Cheng 617 1.3× 174 0.4× 110 0.3× 533 2.4× 48 0.5× 30 1.1k
Gerben Schaaf 474 1.0× 92 0.2× 154 0.4× 171 0.8× 42 0.4× 26 872

Countries citing papers authored by Sebastian Doll

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Doll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Doll

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