Soda Diop

25 total papers · 1.1k total citations
16 papers, 802 citations indexed

About

Soda Diop is a scholar working on Aging, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Soda Diop has authored 16 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Aging, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Physiology. Recurrent topics in Soda Diop's work include Genetics, Aging, and Longevity in Model Organisms (9 papers), Neurobiology and Insect Physiology Research (8 papers) and Adipose Tissue and Metabolism (4 papers). Soda Diop is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (9 papers), Neurobiology and Insect Physiology Research (8 papers) and Adipose Tissue and Metabolism (4 papers). Soda Diop collaborates with scholars based in United States, France and Germany. Soda Diop's co-authors include Rolf Bodmer, Ryan T. Birse, Karen Ocorr, Sean Oldham, Suzanne Graham, Jessica Rodriguez, Jacques Pradel, Paola Bellosta, Peter Gallant and Toby Hulf and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cell Metabolism.

In The Last Decade

Soda Diop

15 papers receiving 794 citations

Author Peers

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

Author						Papers	Cites
Soda Diop	330	284	247	162	121	16	802
Bing Han	344 1.0×	101 0.4×	105 0.4×	212 1.3×	67 0.6×	21	770
Tapiwanashe Magwere	231 0.7×	118 0.4×	275 1.1×	108 0.7×	88 0.7×	13	753
Sébastien Michaud	618 1.9×	90 0.3×	217 0.9×	100 0.6×	131 1.1×	16	852
Thomas Rival	504 1.5×	390 1.4×	83 0.3×	208 1.3×	21 0.2×	18	1.0k
Laura Torroja	510 1.5×	417 1.5×	111 0.4×	332 2.0×	31 0.3×	27	976
Prasanna Venkatesh Ramachandran	269 0.8×	340 1.2×	262 1.1×	119 0.7×	95 0.8×	8	838
Kevin M.C. O’Dell	487 1.5×	344 1.2×	91 0.4×	37 0.2×	43 0.4×	20	797
Jill L. Fink	331 1.0×	435 1.5×	266 1.1×	116 0.7×	118 1.0×	13	979
Xueyang Pan	464 1.4×	212 0.7×	38 0.2×	109 0.7×	52 0.4×	25	926
Kirk Narzinski	331 1.0×	363 1.3×	169 0.7×	76 0.5×	71 0.6×	8	760

Countries citing papers authored by Soda Diop

Since Specialization

Citations

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

Fields of papers citing papers by Soda Diop

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soda Diop. 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 Soda Diop. The network helps show where Soda Diop may publish in the future.

Co-authorship network of co-authors of Soda Diop

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