Ron Sender

9.1k total citations · 5 hit papers
10 papers, 5.4k citations indexed

About

Ron Sender is a scholar working on Molecular Biology, Infectious Diseases and Physiology. According to data from OpenAlex, Ron Sender has authored 10 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Infectious Diseases and 2 papers in Physiology. Recurrent topics in Ron Sender's work include SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 epidemiological studies (2 papers) and Viral Infections and Outbreaks Research (2 papers). Ron Sender is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 epidemiological studies (2 papers) and Viral Infections and Outbreaks Research (2 papers). Ron Sender collaborates with scholars based in Israel, United States and Canada. Ron Sender's co-authors include Ron Milo, Shai Fuchs, Yinon M. Bar‐On, Shmuel Gleizer, Avi I. Flamholz, Biana Bernshtein, Rob Phillips, Εlad Noor, Leeat Keren and Danny Ben‐Zvi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Ron Sender

10 papers receiving 5.2k citations

Hit Papers

Revised Estimates for the Number of Human and Bacteria Ce... 2016 2026 2019 2022 2016 2016 2021 2023 2023 1000 2.0k 3.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ron Sender Israel 9 3.6k 1.1k 981 571 452 10 5.4k
Shai Fuchs Canada 9 3.6k 1.0× 1.1k 1.0× 858 0.9× 569 1.0× 463 1.0× 15 5.1k
Felix Sommer Germany 21 3.8k 1.0× 1.2k 1.0× 933 1.0× 657 1.2× 519 1.1× 40 5.8k
Ilseung Cho United States 15 3.9k 1.1× 1.2k 1.0× 1.1k 1.1× 550 1.0× 628 1.4× 29 5.8k
Clarissa Consolandi Italy 33 3.4k 0.9× 1.1k 1.0× 735 0.7× 524 0.9× 482 1.1× 88 5.0k
Marco Severgnini Italy 39 4.3k 1.2× 1.3k 1.1× 975 1.0× 841 1.5× 589 1.3× 107 6.3k
Matteo Ramazzotti Italy 25 4.7k 1.3× 2.0k 1.8× 857 0.9× 753 1.3× 398 0.9× 101 6.5k
Ran Blekhman United States 34 4.8k 1.3× 1.2k 1.1× 1.1k 1.1× 523 0.9× 401 0.9× 68 6.5k
Nicholas Chia United States 41 3.9k 1.1× 865 0.8× 836 0.9× 487 0.9× 1.0k 2.3× 121 6.4k
Alexander V. Alekseyenko United States 33 4.8k 1.3× 1.3k 1.2× 1.2k 1.2× 500 0.9× 886 2.0× 101 8.4k
Vanni Bucci United States 26 3.0k 0.8× 506 0.4× 1.5k 1.5× 490 0.9× 427 0.9× 64 4.4k

Countries citing papers authored by Ron Sender

Since Specialization
Citations

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

Fields of papers citing papers by Ron Sender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ron Sender

This figure shows the co-authorship network connecting the top 25 collaborators of Ron Sender. A scholar is included among the top collaborators of Ron Sender 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 Ron Sender. Ron Sender is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Sender, Ron, Yuval Rosenberg, Yinon M. Bar‐On, et al.. (2023). The global biomass of wild mammals. Proceedings of the National Academy of Sciences. 120(10). e2204892120–e2204892120. 73 indexed citations breakdown →
2.
Park, Sang Woo, Kaiyuan Sun, Sam Abbott, et al.. (2023). Inferring the differences in incubation-period and generation-interval distributions of the Delta and Omicron variants of SARS-CoV-2. Proceedings of the National Academy of Sciences. 120(22). e2221887120–e2221887120. 22 indexed citations
3.
Sender, Ron, Εlad Noor, Ron Milo, & Yuval Dor. (2023). What fraction of cellular DNA turnover becomes cfDNA?. eLife. 12. 11 indexed citations
4.
Sender, Ron, Idan Milo, Leeat Keren, et al.. (2023). The total mass, number, and distribution of immune cells in the human body. Proceedings of the National Academy of Sciences. 120(44). e2308511120–e2308511120. 123 indexed citations breakdown →
5.
Sender, Ron, Yinon M. Bar‐On, Sang Woo Park, et al.. (2022). The unmitigated profile of COVID-19 infectiousness. eLife. 11. 10 indexed citations
6.
Sender, Ron, Yinon M. Bar‐On, Shmuel Gleizer, et al.. (2021). The total number and mass of SARS-CoV-2 virions. Proceedings of the National Academy of Sciences. 118(25). 169 indexed citations
7.
Sender, Ron & Ron Milo. (2021). The distribution of cellular turnover in the human body. Nature Medicine. 27(1). 45–48. 220 indexed citations breakdown →
8.
Sender, Ron, Shai Fuchs, & Ron Milo. (2016). Revised Estimates for the Number of Human and Bacteria Cells in the Body. PLoS Biology. 14(8). e1002533–e1002533. 3344 indexed citations breakdown →
9.
Sender, Ron, Shai Fuchs, & Ron Milo. (2016). Are We Really Vastly Outnumbered? Revisiting the Ratio of Bacterial to Host Cells in Humans. Cell. 164(3). 337–340. 1382 indexed citations breakdown →
10.
Marre, Michel, et al.. (1990). Frühdiagnostik kongenitaler Farbensehstörungen mit den “Pflügerhaken-Tafeln zur Prüfung des Farbensinnes” von Velhagen bei 3375 Vorschulkindern. Klinische Monatsblätter für Augenheilkunde. 196(1). 21–25. 2 indexed citations

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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