Danielle L. Schmitt

36 total papers · 631 total citations
16 papers, 394 citations indexed

About

Danielle L. Schmitt is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Danielle L. Schmitt has authored 16 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Surgery. Recurrent topics in Danielle L. Schmitt's work include Biochemical and Molecular Research (5 papers), CRISPR and Genetic Engineering (3 papers) and Receptor Mechanisms and Signaling (3 papers). Danielle L. Schmitt is often cited by papers focused on Biochemical and Molecular Research (5 papers), CRISPR and Genetic Engineering (3 papers) and Receptor Mechanisms and Signaling (3 papers). Danielle L. Schmitt collaborates with scholars based in United States, Mexico and Bulgaria. Danielle L. Schmitt's co-authors include Songon An, Jin Zhang, Minjoung Kyoung, Sohum Mehta, Erin L. Kennedy, Sarah Russell, Julio Ramirez, Jinfan Zhang, Reuben J. Shaw and Padmini Rangamani and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Danielle L. Schmitt

16 papers receiving 390 citations

Author Peers

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

Author Last Decade Papers Cites
Danielle L. Schmitt 307 54 50 34 34 16 394
Anne Gaebler 319 1.0× 55 1.0× 17 0.3× 37 1.1× 12 0.4× 9 421
Wolf Oehrl 287 0.9× 70 1.3× 40 0.8× 16 0.5× 11 0.3× 14 443
Young Ah Kim 277 0.9× 59 1.1× 64 1.3× 25 0.7× 35 1.0× 14 412
Sanjid Shahriar 273 0.9× 57 1.1× 55 1.1× 13 0.4× 4 0.1× 11 415
Kei Muneyama 337 1.1× 33 0.6× 22 0.4× 14 0.4× 17 0.5× 12 421
Yu-Han H. Hsu 213 0.7× 38 0.7× 28 0.6× 20 0.6× 22 0.6× 15 404
Theresia Gutmann 290 0.9× 27 0.5× 19 0.4× 39 1.1× 18 0.5× 10 408
Yuan Wang 241 0.8× 52 1.0× 51 1.0× 10 0.3× 36 1.1× 20 444
Anna Piłat 200 0.7× 112 2.1× 16 0.3× 31 0.9× 16 0.5× 16 356
Jürgen Kirchberger 321 1.0× 36 0.7× 76 1.5× 42 1.2× 42 1.2× 25 435

Countries citing papers authored by Danielle L. Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Danielle L. Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle L. Schmitt

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