Ziv Ben-Aharon

1.3k total citations · 1 hit paper
4 papers, 244 citations indexed

About

Ziv Ben-Aharon is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Materials Chemistry. According to data from OpenAlex, Ziv Ben-Aharon has authored 4 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Radiology, Nuclear Medicine and Imaging and 1 paper in Materials Chemistry. Recurrent topics in Ziv Ben-Aharon's work include Protein Structure and Dynamics (3 papers), Machine Learning in Bioinformatics (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Ziv Ben-Aharon is often cited by papers focused on Protein Structure and Dynamics (3 papers), Machine Learning in Bioinformatics (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Ziv Ben-Aharon collaborates with scholars based in Israel and United States. Ziv Ben-Aharon's co-authors include Tomer Tsaban, Ora Schueler‐Furman, Orly Avraham, Julia K. Varga, Alisa Khramushin, Nir Kalisman and Michael Levitt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and BMC Bioinformatics.

In The Last Decade

Ziv Ben-Aharon

4 papers receiving 242 citations

Hit Papers

Harnessing protein folding neural networks for peptide–pr... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ziv Ben-Aharon Israel 3 197 36 36 20 13 4 244
Alisa Khramushin Israel 5 214 1.1× 39 1.1× 43 1.2× 24 1.2× 13 1.0× 6 261
Julia K. Varga Israel 10 324 1.6× 43 1.2× 53 1.5× 28 1.4× 13 1.0× 16 427
Orly Avraham Israel 8 266 1.4× 38 1.1× 47 1.3× 37 1.9× 14 1.1× 11 341
Tomer Tsaban Israel 6 278 1.4× 37 1.0× 36 1.0× 32 1.6× 13 1.0× 7 357
Damiano Cianferoni Spain 6 239 1.2× 24 0.7× 30 0.8× 22 1.1× 3 0.2× 9 337
Ryan Ritterson United States 8 243 1.2× 11 0.3× 89 2.5× 13 0.7× 4 0.3× 10 292
Jingzhou Hao United States 4 333 1.7× 35 1.0× 60 1.7× 41 2.0× 2 0.2× 4 391
Jennifer Liddle United States 8 148 0.8× 14 0.4× 18 0.5× 5 0.3× 5 0.4× 13 216
Damiano Buratto China 10 195 1.0× 10 0.3× 20 0.6× 18 0.9× 2 0.2× 20 272
Bi Zhao United States 12 425 2.2× 25 0.7× 120 3.3× 14 0.7× 2 0.2× 30 495

Countries citing papers authored by Ziv Ben-Aharon

Since Specialization
Citations

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

Fields of papers citing papers by Ziv Ben-Aharon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ziv Ben-Aharon. 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 Ziv Ben-Aharon. The network helps show where Ziv Ben-Aharon may publish in the future.

Co-authorship network of co-authors of Ziv Ben-Aharon

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

All Works

4 of 4 papers shown
1.
Avraham, Orly, et al.. (2023). Protein language models can capture protein quaternary state. BMC Bioinformatics. 24(1). 433–433. 14 indexed citations
2.
Khramushin, Alisa, Ziv Ben-Aharon, Tomer Tsaban, et al.. (2022). Matching protein surface structural patches for high-resolution blind peptide docking. Proceedings of the National Academy of Sciences. 119(18). e2121153119–e2121153119. 18 indexed citations
3.
Tsaban, Tomer, Julia K. Varga, Orly Avraham, et al.. (2022). Harnessing protein folding neural networks for peptide–protein docking. Nature Communications. 13(1). 176–176. 211 indexed citations breakdown →
4.
Ben-Aharon, Ziv, Michael Levitt, & Nir Kalisman. (2018). Automatic Inference of Sequence from Low-Resolution Crystallographic Data. Structure. 26(11). 1546–1554.e2. 1 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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