Daniel F. Schmidt

356 total papers · 11.1k total citations
56 papers, 965 citations indexed

About

Daniel F. Schmidt is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Daniel F. Schmidt has authored 56 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Artificial Intelligence and 12 papers in Genetics. Recurrent topics in Daniel F. Schmidt's work include Epigenetics and DNA Methylation (12 papers), Genetic Associations and Epidemiology (8 papers) and Global Cancer Incidence and Screening (8 papers). Daniel F. Schmidt is often cited by papers focused on Epigenetics and DNA Methylation (12 papers), Genetic Associations and Epidemiology (8 papers) and Global Cancer Incidence and Screening (8 papers). Daniel F. Schmidt collaborates with scholars based in Australia, France and Italy. Daniel F. Schmidt's co-authors include Enes Makalic, John L. Hopper, Graham G. Giles, Melissa C. Southey, Dallas R. English, Pierre‐Antoine Dugué, Roger L. Milne, Jihoon E. Joo, Ee Ming Wong and Daniel D. Buchanan and has published in prestigious journals such as Journal of Personality and Social Psychology, American Journal of Clinical Nutrition and Cancer Research.

In The Last Decade

Daniel F. Schmidt

52 papers receiving 949 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 F. Schmidt 454 144 137 127 123 56 965
Enes Makalic 577 1.3× 124 0.9× 152 1.1× 136 1.1× 146 1.2× 63 1.1k
Xin Zhou 440 1.0× 147 1.0× 102 0.7× 76 0.6× 46 0.4× 68 1.2k
Prabhakar Chalise 421 0.9× 50 0.3× 36 0.3× 126 1.0× 110 0.9× 68 939
Vincenzo Lagani 422 0.9× 206 1.4× 25 0.2× 48 0.4× 109 0.9× 70 1.2k
Stephen B. Ellis 191 0.4× 195 1.4× 79 0.6× 117 0.9× 144 1.2× 25 958
Laura H. Mariani 265 0.6× 51 0.4× 89 0.6× 42 0.3× 71 0.6× 64 1.2k
Daniel Ziemek 494 1.1× 125 0.9× 32 0.2× 67 0.5× 131 1.1× 34 1.2k
Yifan Huang 306 0.7× 22 0.2× 149 1.1× 263 2.1× 102 0.8× 75 1.2k
Jincheng Shen 327 0.7× 24 0.2× 60 0.4× 52 0.4× 76 0.6× 63 956
Mark Sale 258 0.6× 35 0.2× 105 0.8× 227 1.8× 33 0.3× 42 1.1k

Countries citing papers authored by Daniel F. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel F. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel F. Schmidt

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