Daniel Habermehl

192 total papers · 4.1k total citations
115 papers, 3.0k citations indexed

About

Daniel Habermehl is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Radiation. According to data from OpenAlex, Daniel Habermehl has authored 115 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Pulmonary and Respiratory Medicine, 42 papers in Surgery and 37 papers in Radiation. Recurrent topics in Daniel Habermehl's work include Radiation Therapy and Dosimetry (38 papers), Advanced Radiotherapy Techniques (37 papers) and Glioma Diagnosis and Treatment (22 papers). Daniel Habermehl is often cited by papers focused on Radiation Therapy and Dosimetry (38 papers), Advanced Radiotherapy Techniques (37 papers) and Glioma Diagnosis and Treatment (22 papers). Daniel Habermehl collaborates with scholars based in Germany, Switzerland and Italy. Daniel Habermehl's co-authors include Stephanie E. Combs, Jürgen Debus, Stefan Rieken, Thomas Welzel, Oliver Jäkel, Thomas Haberer, Kerstin A. Kessel, Sebastian Adeberg, Markus W. Büchler and Jens Werner and has published in prestigious journals such as The Journal of Experimental Medicine, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Daniel Habermehl

112 papers receiving 2.9k citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Habermehl 1.4k 820 792 625 600 115 3.0k
T.A. DeWees 1.6k 1.2× 1.1k 1.4× 821 1.0× 801 1.3× 1.1k 1.9× 174 3.9k
Mitsuyuki Abe 1.6k 1.1× 677 0.8× 764 1.0× 749 1.2× 840 1.4× 155 3.8k
James M. Slater 2.2k 1.6× 1.3k 1.5× 541 0.7× 307 0.5× 787 1.3× 130 4.1k
Zelig Tochner 1.8k 1.3× 882 1.1× 406 0.5× 291 0.5× 669 1.1× 113 3.4k
Ute Ganswindt 2.2k 1.6× 1.3k 1.6× 474 0.6× 631 1.0× 1.4k 2.4× 164 4.4k
Jonathan Knisely 2.3k 1.7× 412 0.5× 597 0.8× 1.3k 2.1× 614 1.0× 158 3.9k
Steve Braunstein 1.1k 0.8× 487 0.6× 489 0.6× 995 1.6× 773 1.3× 203 4.2k
James G. Schwade 860 0.6× 420 0.5× 554 0.7× 470 0.8× 374 0.6× 76 2.2k
Alba Fiorentino 1.4k 1.0× 900 1.1× 381 0.5× 498 0.8× 857 1.4× 165 2.9k
P. Rubin 1.0k 0.7× 305 0.4× 641 0.8× 419 0.7× 624 1.0× 83 2.5k

Countries citing papers authored by Daniel Habermehl

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Habermehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Habermehl

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