Natacha S. Ogando

38 total papers · 2.1k total citations
22 papers, 1.1k citations indexed

About

Natacha S. Ogando is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology. According to data from OpenAlex, Natacha S. Ogando has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 5 papers in Animal Science and Zoology and 4 papers in Epidemiology. Recurrent topics in Natacha S. Ogando's work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (6 papers) and Animal Virus Infections Studies (4 papers). Natacha S. Ogando is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (6 papers) and Animal Virus Infections Studies (4 papers). Natacha S. Ogando collaborates with scholars based in Netherlands, Canada and France. Natacha S. Ogando's co-authors include Eric J. Snijder, Jessika C. Zevenhoven-Dobbe, Yvonne van der Meer, Clara C. Posthuma, Peter J. Bredenbeek, Marjolein Kikkert, Martijn J. van Hemert, Montserrat Bárcena, Jutte J.C. de Vries and Tim J. Dalebout and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Annals of Neurology.

In The Last Decade

Natacha S. Ogando

21 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Natacha S. Ogando 776 402 145 107 94 22 1.1k
Claire Debarnot 526 0.7× 391 1.0× 151 1.0× 77 0.7× 64 0.7× 18 1.1k
Karine Alvarez 652 0.8× 518 1.3× 89 0.6× 70 0.7× 102 1.1× 46 1.3k
Gyorgy Snell 884 1.1× 667 1.7× 121 0.8× 50 0.5× 61 0.6× 18 1.5k
Elad Binshtein 804 1.0× 385 1.0× 129 0.9× 45 0.4× 122 1.3× 21 1.1k
Jian Lei 756 1.0× 439 1.1× 150 1.0× 67 0.6× 174 1.9× 40 1.5k
Amrita Ojha 890 1.1× 353 0.9× 146 1.0× 39 0.4× 74 0.8× 14 1.2k
Yingying Cong 499 0.6× 263 0.7× 185 1.3× 76 0.7× 87 0.9× 27 958
Changfa Fan 1.1k 1.4× 322 0.8× 166 1.1× 104 1.0× 209 2.2× 32 1.5k
Ruchao Peng 647 0.8× 387 1.0× 102 0.7× 105 1.0× 265 2.8× 33 1.1k
Cong Zeng 624 0.8× 277 0.7× 147 1.0× 39 0.4× 79 0.8× 35 912

Countries citing papers authored by Natacha S. Ogando

Since Specialization
Citations

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

Fields of papers citing papers by Natacha S. Ogando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natacha S. Ogando. 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 Natacha S. Ogando. The network helps show where Natacha S. Ogando may publish in the future.

Co-authorship network of co-authors of Natacha S. Ogando

This figure shows the co-authorship network connecting the top 25 collaborators of Natacha S. Ogando. A scholar is included among the top collaborators of Natacha S. Ogando 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 Natacha S. Ogando. Natacha S. Ogando 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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