Gerald Schmid

29 total papers · 1.0k total citations
27 papers, 889 citations indexed

About

Gerald Schmid is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Gerald Schmid has authored 27 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Oncology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Gerald Schmid's work include Cancer-related Molecular Pathways (15 papers), PARP inhibition in cancer therapy (6 papers) and DNA Repair Mechanisms (5 papers). Gerald Schmid is often cited by papers focused on Cancer-related Molecular Pathways (15 papers), PARP inhibition in cancer therapy (6 papers) and DNA Repair Mechanisms (5 papers). Gerald Schmid collaborates with scholars based in Austria, Germany and United States. Gerald Schmid's co-authors include Józefa Węsierska‐Gądek, Karl‐Walter Jauch, Christiane J. Bruns, Markus Guba, Christa Cerni, Jacek Wojciechowski, A. Papyan, Ivan Ischenko, Christian Graeb and Maksim Yezhelyev and has published in prestigious journals such as Blood, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Gerald Schmid

27 papers receiving 876 citations

Author Peers

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

Author Last Decade Papers Cites
Gerald Schmid 578 388 145 78 74 27 889
Donna P. Frazier 562 1.0× 294 0.8× 156 1.1× 49 0.6× 47 0.6× 19 854
Fumie Omotehara 477 0.8× 282 0.7× 211 1.5× 56 0.7× 122 1.6× 33 833
E. Spitzer 499 0.9× 412 1.1× 109 0.8× 73 0.9× 77 1.0× 26 910
Wilma Jogunoori 497 0.9× 389 1.0× 190 1.3× 50 0.6× 87 1.2× 22 867
Lei Du 548 0.9× 538 1.4× 241 1.7× 108 1.4× 78 1.1× 29 1.0k
Nicholas Davies 581 1.0× 296 0.8× 117 0.8× 190 2.4× 77 1.0× 25 995
Isere Kuiatse 685 1.2× 269 0.7× 174 1.2× 84 1.1× 41 0.6× 36 945
Fenghua Zeng 569 1.0× 242 0.6× 137 0.9× 83 1.1× 68 0.9× 23 1.1k
Charlotte E. Edling 606 1.0× 274 0.7× 125 0.9× 81 1.0× 141 1.9× 32 1.0k
Junhye Kwon 593 1.0× 273 0.7× 205 1.4× 99 1.3× 50 0.7× 31 849

Countries citing papers authored by Gerald Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerald Schmid

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