Daniel Segelcke

81 total papers · 1.3k total citations
41 papers, 707 citations indexed

About

Daniel Segelcke is a scholar working on Physiology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel Segelcke has authored 41 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 14 papers in Surgery and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel Segelcke's work include Pain Mechanisms and Treatments (22 papers), Anesthesia and Pain Management (14 papers) and Stress Responses and Cortisol (5 papers). Daniel Segelcke is often cited by papers focused on Pain Mechanisms and Treatments (22 papers), Anesthesia and Pain Management (14 papers) and Stress Responses and Cortisol (5 papers). Daniel Segelcke collaborates with scholars based in Germany, United Kingdom and Austria. Daniel Segelcke's co-authors include Esther Pogatzki‐Zahn, Stephan A. Schug, Peter Zahn, Bruno Pradier, Sylvia Reichl, Karl Meßlinger, Jan Vollert, Cornelius Faber, Lydia Wachsmuth and Manuela Schmidt and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Daniel Segelcke

38 papers receiving 696 citations

Hit Papers

Postoperative pain—from m... 2017 2026 2020 2023 2017 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Daniel Segelcke 265 253 171 121 89 41 707
Louis Jacobson 362 1.4× 417 1.6× 395 2.3× 90 0.7× 50 0.6× 29 835
Yi Zhang 179 0.7× 337 1.3× 91 0.5× 157 1.3× 50 0.6× 36 843
Ratan K. Banik 164 0.6× 522 2.1× 88 0.5× 205 1.7× 39 0.4× 37 743
Marcus Schley 114 0.4× 409 1.6× 152 0.9× 159 1.3× 78 0.9× 28 775
Philip M. Lang 196 0.7× 240 0.9× 98 0.6× 102 0.8× 100 1.1× 37 793
Vincenzo Bonicalzi 114 0.4× 409 1.6× 191 1.1× 143 1.2× 111 1.2× 40 841
Stephen Butler 221 0.8× 397 1.6× 91 0.5× 220 1.8× 47 0.5× 25 809
Dong Eon Moon 197 0.7× 373 1.5× 182 1.1× 74 0.6× 35 0.4× 55 745
Bruce G. Minor 181 0.7× 373 1.5× 125 0.7× 342 2.8× 55 0.6× 34 753
Stefan Leis 107 0.4× 353 1.4× 288 1.7× 97 0.8× 76 0.9× 43 782

Countries citing papers authored by Daniel Segelcke

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Segelcke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Segelcke

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