Leda M. Cummings

29 total papers · 6.2k total citations
18 papers, 389 citations indexed

About

Leda M. Cummings is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Leda M. Cummings has authored 18 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Public Health, Environmental and Occupational Health and 3 papers in Epidemiology. Recurrent topics in Leda M. Cummings's work include Malaria Research and Control (6 papers), RNA and protein synthesis mechanisms (5 papers) and vaccines and immunoinformatics approaches (4 papers). Leda M. Cummings is often cited by papers focused on Malaria Research and Control (6 papers), RNA and protein synthesis mechanisms (5 papers) and vaccines and immunoinformatics approaches (4 papers). Leda M. Cummings collaborates with scholars based in United States, Brazil and Canada. Leda M. Cummings's co-authors include Swati Patankar, Azadeh Shoaibi, Dyann F. Wirth, Tatiana Tatusova, Alexander Souvorov, Sergei Resenchuk, Malcolm J. Gardner, Hervé Tettelin, Daniel J. Carucci and J. Craig Venter and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Genome Research and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Leda M. Cummings

18 papers receiving 382 citations

Author Peers

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

Author Last Decade Papers Cites
Leda M. Cummings 222 110 72 44 44 18 389
Rafael Lucas Muniz Guedes 159 0.7× 58 0.5× 45 0.6× 77 1.8× 23 0.5× 15 413
Xianwei Yang 199 0.9× 29 0.3× 47 0.7× 30 0.7× 29 0.7× 32 420
Purnima Bandyopadhyay 206 0.9× 38 0.3× 160 2.2× 27 0.6× 20 0.5× 19 365
Cathy Shea 235 1.1× 67 0.6× 33 0.5× 80 1.8× 29 0.7× 11 430
André da Silva Santiago 213 1.0× 72 0.7× 29 0.4× 86 2.0× 17 0.4× 25 386
Wanda Sokolowska‐Köhler 137 0.6× 177 1.6× 32 0.4× 22 0.5× 47 1.1× 15 438
Jieying Pu 218 1.0× 106 1.0× 88 1.2× 15 0.3× 10 0.2× 22 399
Michael Pinkney 157 0.7× 103 0.9× 49 0.7× 51 1.2× 10 0.2× 12 339
Priscila Ferreira de Aquino 203 0.9× 62 0.6× 27 0.4× 25 0.6× 27 0.6× 26 391
Svetlana Senina 167 0.8× 116 1.1× 56 0.8× 29 0.7× 48 1.1× 13 418

Countries citing papers authored by Leda M. Cummings

Since Specialization
Citations

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

Fields of papers citing papers by Leda M. Cummings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leda M. Cummings

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