Sam Sinai

1.3k total citations · 1 hit paper
6 papers, 320 citations indexed

About

Sam Sinai is a scholar working on Genetics, Astronomy and Astrophysics and Infectious Diseases. According to data from OpenAlex, Sam Sinai has authored 6 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Astronomy and Astrophysics and 2 papers in Infectious Diseases. Recurrent topics in Sam Sinai's work include Origins and Evolution of Life (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Protein Structure and Dynamics (2 papers). Sam Sinai is often cited by papers focused on Origins and Evolution of Life (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Protein Structure and Dynamics (2 papers). Sam Sinai collaborates with scholars based in United States, United Kingdom and Netherlands. Sam Sinai's co-authors include Eric D. Kelsic, George M. Church, Pierce J. Ogden, Martin A. Nowak, Albert J. Markvoort, Kathy S. Lin, Anna Z. Wec, Jamie C. Kwasnieski, Noam Prywes and Nathan Rollins and has published in prestigious journals such as Science, Nature Communications and PLoS ONE.

In The Last Decade

Sam Sinai

6 papers receiving 315 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comprehensive AAV capsid fitness landscape reveals a viral gene and enables machine-guided design

2019 256 citations Pierce J. Ogden, Eric D. Kelsic et al. Science profile →

Peers

Sam Sinai

GENET

MB

ONCOL

CCM

ID

Yurui Chang United States

Pierce J. Ogden United States

Axel Rossi Germany

Christina Raupp Germany

Ariana Jose United States

Lauren M. Drouin United States

Brenda Burnham United States

Robert Ng United States

Soraya Becerra Spain

Ruth Popa-Wagner Germany

Yurui Chang United States

Sam Sinai

130 ×0.5

GENET

112 ×0.5

MB

35 ×0.9

ONCOL

15 ×0.4

CCM

18 ×0.5

ID

Citations per year, relative to Sam Sinai Sam Sinai (= 1×) peers Yurui Chang

Countries citing papers authored by Sam Sinai

Since Specialization

Citations

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

Fields of papers citing papers by Sam Sinai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Sinai

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Ding, David, Sam Sinai, Nathan Rollins, et al.. (2024). Protein design using structure-based residue preferences. Nature Communications. 15(1). 1639–1639. 17 indexed citations

2.

Wec, Anna Z., et al.. (2021). Overcoming Immunological Challenges Limiting Capsid-Mediated Gene Therapy With Machine Learning. Frontiers in Immunology. 12. 674021–674021. 24 indexed citations

3.

Ogden, Pierce J., Eric D. Kelsic, Sam Sinai, & George M. Church. (2019). Comprehensive AAV capsid fitness landscape reveals a viral gene and enables machine-guided design. Science. 366(6469). 1139–1143. 256 indexed citations breakdown →

4.

Sinai, Sam, et al.. (2018). Primordial sex facilitates the emergence of evolution. Journal of The Royal Society Interface. 15(139). 20180003–20180003. 4 indexed citations

5.

Sinai, Sam, et al.. (2017). Prebiotic selection for motifs in a model of template-free elongation of polymers within compartments. PLoS ONE. 12(7). e0180208–e0180208. 5 indexed citations

6.

Markvoort, Albert J., Sam Sinai, & Martin A. Nowak. (2014). Computer simulations of cellular group selection reveal mechanism for sustaining cooperation. Journal of Theoretical Biology. 357. 123–133. 14 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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