Ayelet Alpert

1.4k total citations
10 papers, 409 citations indexed

About

Ayelet Alpert is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Ayelet Alpert has authored 10 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Genetics. Recurrent topics in Ayelet Alpert's work include Diabetes and associated disorders (3 papers), Single-cell and spatial transcriptomics (3 papers) and Sepsis Diagnosis and Treatment (3 papers). Ayelet Alpert is often cited by papers focused on Diabetes and associated disorders (3 papers), Single-cell and spatial transcriptomics (3 papers) and Sepsis Diagnosis and Treatment (3 papers). Ayelet Alpert collaborates with scholars based in Israel, Germany and United States. Ayelet Alpert's co-authors include Shai S. Shen-Orr, Elina Starosvetsky, Renaud Gaujoux, Michael D. Leipold, Purvesh Khatri, Cornelia L. Dekker, Holden T. Maecker, Uri Rosenschein, Mark M. Davis and Yael Rosenberg‐Hasson and has published in prestigious journals such as Nature, Nature Medicine and Nature Communications.

In The Last Decade

Ayelet Alpert

10 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayelet Alpert Israel 7 178 153 79 43 41 10 409
Yishai Pickman Israel 10 323 1.8× 153 1.0× 82 1.0× 59 1.4× 58 1.4× 11 594
Alper Eroğlu Sweden 5 129 0.7× 130 0.8× 39 0.5× 58 1.3× 41 1.0× 6 397
Hyun Kim United States 10 169 0.9× 99 0.6× 35 0.4× 26 0.6× 44 1.1× 14 451
Helmut Wachter Austria 10 111 0.6× 81 0.5× 97 1.2× 57 1.3× 51 1.2× 13 429
Ashley van der Spek Netherlands 7 174 1.0× 103 0.7× 120 1.5× 75 1.7× 30 0.7× 10 431
Marco Mattioli Italy 10 88 0.5× 107 0.7× 29 0.4× 28 0.7× 18 0.4× 16 418
Laura Glick United States 12 96 0.5× 84 0.5× 152 1.9× 73 1.7× 40 1.0× 31 512
Dietmar Fuchs Austria 12 90 0.5× 112 0.7× 85 1.1× 74 1.7× 36 0.9× 18 491
Hannes Hudalla Germany 15 240 1.3× 126 0.8× 77 1.0× 46 1.1× 13 0.3× 32 569
Katarzyna A. Lisowska Poland 15 198 1.1× 83 0.5× 57 0.7× 52 1.2× 80 2.0× 46 626

Countries citing papers authored by Ayelet Alpert

Since Specialization
Citations

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

Fields of papers citing papers by Ayelet Alpert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayelet Alpert

This figure shows the co-authorship network connecting the top 25 collaborators of Ayelet Alpert. A scholar is included among the top collaborators of Ayelet Alpert 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 Ayelet Alpert. Ayelet Alpert 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.
Dubovik, Tania, Martin Lukačišin, Elina Starosvetsky, et al.. (2024). Interactions between immune cell types facilitate the evolution of immune traits. Nature. 632(8024). 350–356. 6 indexed citations
2.
Frishberg, Amit, Neta Milman, Ayelet Alpert, et al.. (2023). Reconstructing disease dynamics for mechanistic insights and clinical benefit. Nature Communications. 14(1). 6840–6840. 4 indexed citations
3.
Starosvetsky, Elina, Renaud Gaujoux, Alexandra Blatt, et al.. (2023). A personalized network framework reveals predictive axis of anti-TNF response across diseases. Cell Reports Medicine. 5(1). 101300–101300. 5 indexed citations
4.
Büttner, Benedikt, José Hinz, Ayelet Alpert, et al.. (2021). Effect of the Lymphocyte Activation Gene 3 Polymorphism rs951818 on Mortality and Disease Progression in Patients with Sepsis—A Prospective Genetic Association Study. Journal of Clinical Medicine. 10(22). 5302–5302. 10 indexed citations
5.
Alpert, Ayelet, et al.. (2021). Alignment of single-cell trajectories by tuMap enables high-resolution quantitative comparison of cancer samples. Cell Systems. 13(1). 71–82.e8. 3 indexed citations
6.
Büttner, Benedikt, José Hinz, Ayelet Alpert, et al.. (2020). TIM-3 Genetic Variants Are Associated with Altered Clinical Outcome and Susceptibility to Gram-Positive Infections in Patients with Sepsis. International Journal of Molecular Sciences. 21(21). 8318–8318. 10 indexed citations
7.
Alpert, Ayelet, Yishai Pickman, Michael D. Leipold, et al.. (2019). A clinically meaningful metric of immune age derived from high-dimensional longitudinal monitoring. Nature Medicine. 25(3). 487–495. 292 indexed citations
8.
Büttner, Benedikt, José Hinz, Ayelet Alpert, et al.. (2019). CTLA-4 Genetic Variants Predict Survival in Patients with Sepsis. Journal of Clinical Medicine. 8(1). 70–70. 17 indexed citations
9.
Alpert, Ayelet, Lindsay S. Moore, Tania Dubovik, & Shai S. Shen-Orr. (2018). Alignment of single-cell trajectories to compare cellular expression dynamics. Nature Methods. 15(4). 267–270. 49 indexed citations
10.
Büttner, Benedikt, José Hinz, Ayelet Alpert, et al.. (2018). The CTLA-4 rs231775 GG genotype is associated with favorable 90-day survival in Caucasian patients with sepsis. Scientific Reports. 8(1). 15140–15140. 13 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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2026