Danielle M Scheswohl

10 total papers · 442 total citations
7 papers, 345 citations indexed

About

Danielle M Scheswohl is a scholar working on Immunology and Allergy, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Danielle M Scheswohl has authored 7 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology and Allergy, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Danielle M Scheswohl's work include Cell Adhesion Molecules Research (4 papers), Protease and Inhibitor Mechanisms (2 papers) and Cellular Mechanics and Interactions (2 papers). Danielle M Scheswohl is often cited by papers focused on Cell Adhesion Molecules Research (4 papers), Protease and Inhibitor Mechanisms (2 papers) and Cellular Mechanics and Interactions (2 papers). Danielle M Scheswohl collaborates with scholars based in United States and Italy. Danielle M Scheswohl's co-authors include Michael D. Schaller, Sharon L. Campbell, Guanghua Gao, Zenon Rajfur, David Richard, Jessica R. Harrell, Georgia C. Papaefthymiou, Paolo Arosio, N. Dennis Chasteen and Fadi Bou‐Abdallah and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Journal of Insect Physiology.

In The Last Decade

Danielle M Scheswohl

6 papers receiving 340 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 M Scheswohl 154 91 82 81 67 7 345
Eric Dumermuth 188 1.2× 47 0.5× 54 0.7× 25 0.3× 17 0.3× 9 370
Jennifer R. Crew 212 1.4× 80 0.9× 100 1.2× 92 1.1× 11 0.2× 9 356
Gurunathan Laxmikanthan 173 1.1× 16 0.2× 13 0.2× 15 0.2× 107 1.6× 9 379
Orna Yeger 195 1.3× 115 1.3× 66 0.8× 33 0.4× 15 0.2× 8 390
Joan Devine 257 1.7× 46 0.5× 145 1.8× 44 0.5× 7 0.1× 8 361
Noelia Alonso-García 233 1.5× 34 0.4× 54 0.7× 9 0.1× 10 0.1× 8 346
Erika Doná 170 1.1× 27 0.3× 203 2.5× 72 0.9× 4 0.1× 5 393
T. E. Machen 223 1.4× 14 0.2× 51 0.6× 44 0.5× 4 0.1× 8 383
Nicole M. Kühl 182 1.2× 10 0.1× 40 0.5× 23 0.3× 8 0.1× 8 369
Denny G.A. Johansson 283 1.8× 23 0.3× 55 0.7× 19 0.2× 11 0.2× 5 348

Countries citing papers authored by Danielle M Scheswohl

Since Specialization
Citations

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

Fields of papers citing papers by Danielle M Scheswohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle M Scheswohl

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