David A. Schmitt

58 total papers · 1.0k total citations
39 papers, 807 citations indexed

About

David A. Schmitt is a scholar working on Immunology, Dermatology and Oncology. According to data from OpenAlex, David A. Schmitt has authored 39 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 7 papers in Dermatology and 7 papers in Oncology. Recurrent topics in David A. Schmitt's work include Immunotherapy and Immune Responses (7 papers), Food Allergy and Anaphylaxis Research (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). David A. Schmitt is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), Food Allergy and Anaphylaxis Research (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). David A. Schmitt collaborates with scholars based in United States, France and Switzerland. David A. Schmitt's co-authors include Stephen E. Ullrich, Laurie B. Owen‐Schaub, Soheila J. Maleki, Richard B. Pollard, Hsiaopo Cheng, Barry K. Hurlburt, Jacqueline B. Nesbit, Hidetaka Sasaki, Fujio Suzuki and Jeffrey P. Walterscheid and has published in prestigious journals such as The Journal of Immunology, Gastroenterology and Journal of Agricultural and Food Chemistry.

In The Last Decade

David A. Schmitt

35 papers receiving 786 citations

Author Peers

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

Author Last Decade Papers Cites
David A. Schmitt 359 213 176 144 119 39 807
Françoise Horand 372 1.0× 223 1.0× 109 0.6× 211 1.5× 77 0.6× 26 878
Ruth Heise 163 0.5× 380 1.8× 151 0.9× 248 1.7× 127 1.1× 42 1.0k
Jongkonnee Wongpiyabovorn 393 1.1× 195 0.9× 122 0.7× 207 1.4× 112 0.9× 58 817
David Dunkin 287 0.8× 152 0.7× 286 1.6× 111 0.8× 58 0.5× 44 941
Giuseppe Fabrizi 276 0.8× 452 2.1× 128 0.7× 179 1.2× 147 1.2× 54 1.0k
Miranda Sin‐Man Tsang 283 0.8× 240 1.1× 140 0.8× 230 1.6× 33 0.3× 31 791
Tej Pratap Singh 612 1.7× 275 1.3× 56 0.3× 176 1.2× 128 1.1× 31 994
Tom Macleod 335 0.9× 416 2.0× 70 0.4× 165 1.1× 57 0.5× 46 876
Grégory Bouchaud 496 1.4× 111 0.5× 242 1.4× 174 1.2× 236 2.0× 47 1.0k
Jung Yeon Hong 257 0.7× 174 0.8× 204 1.2× 251 1.7× 53 0.4× 51 861

Countries citing papers authored by David A. Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by David A. Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Schmitt. 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 David A. Schmitt. The network helps show where David A. Schmitt may publish in the future.

Co-authorship network of co-authors of David A. Schmitt

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