Einat Sitbon

1.4k total citations
9 papers, 1.1k citations indexed

About

Einat Sitbon is a scholar working on Molecular Biology, Cancer Research and Materials Chemistry. According to data from OpenAlex, Einat Sitbon has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cancer Research and 3 papers in Materials Chemistry. Recurrent topics in Einat Sitbon's work include Protein Structure and Dynamics (4 papers), MicroRNA in disease regulation (3 papers) and Enzyme Structure and Function (3 papers). Einat Sitbon is often cited by papers focused on Protein Structure and Dynamics (4 papers), MicroRNA in disease regulation (3 papers) and Enzyme Structure and Function (3 papers). Einat Sitbon collaborates with scholars based in Israel and United States. Einat Sitbon's co-authors include Shmuel Pietrokovski, Gil Amitai, Dvir Netanely, Ilya Venger, Eran Elyakim, Eyal Capua, David H. Waldeck, Anup Kumar, Manoj K. Kesharwani and Ron Naaman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Einat Sitbon

9 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Einat Sitbon Israel	9	848	333	139	129	86	9	1.1k
Julia M. Shifman Israel	22	1.3k 1.5×	194 0.6×	261 1.9×	102 0.8×	53 0.6×	49	1.6k
Hadar Benyamini Israel	19	997 1.2×	251 0.8×	354 2.5×	78 0.6×	19 0.2×	40	1.4k
Werner Streicher Denmark	21	1.7k 2.0×	87 0.3×	156 1.1×	46 0.4×	26 0.3×	42	2.0k
Levi Pierce United States	17	1.2k 1.4×	63 0.2×	295 2.1×	126 1.0×	51 0.6×	27	1.6k
Gabriela Barreiro United States	13	689 0.8×	55 0.2×	80 0.6×	115 0.9×	13 0.2×	20	967
Gregory M. Lee United States	14	728 0.9×	47 0.1×	156 1.1×	66 0.5×	18 0.2×	21	948
Barak Akabayov Israel	17	649 0.8×	60 0.2×	87 0.6×	43 0.3×	52 0.6×	55	909
Philippe Cuniasse France	19	625 0.7×	63 0.2×	89 0.6×	60 0.5×	12 0.1×	31	968
Peter Májek Austria	16	952 1.1×	97 0.3×	117 0.8×	56 0.4×	13 0.2×	24	1.3k
Lizhe Zhu China	18	615 0.7×	34 0.1×	252 1.8×	61 0.5×	94 1.1×	48	967

Countries citing papers authored by Einat Sitbon

Since Specialization

Citations

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

Fields of papers citing papers by Einat Sitbon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Einat Sitbon

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

All Works

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9 of 9 papers shown

1.

Kumar, Anup, Eyal Capua, Manoj K. Kesharwani, et al.. (2017). Chirality-induced spin polarization places symmetry constraints on biomolecular interactions. Proceedings of the National Academy of Sciences. 114(10). 2474–2478. 178 indexed citations

2.

Elyakim, Eran, Einat Sitbon, Alexander Faerman, et al.. (2010). hsa-miR-191 Is a Candidate Oncogene Target for Hepatocellular Carcinoma Therapy. Cancer Research. 70(20). 8077–8087. 126 indexed citations

3.

Meiri, Eti, Asaf Levy, Hila Benjamin, et al.. (2010). Discovery of microRNAs and other small RNAs in solid tumors. Nucleic Acids Research. 38(18). 6234–6246. 103 indexed citations

4.

Nass, Dvora, Shai Rosenwald, Eti Meiri, et al.. (2008). MiR‐92b and miR‐9/9* Are Specifically Expressed in Brain Primary Tumors and Can Be Used to Differentiate Primary from Metastatic Brain Tumors. Brain Pathology. 19(3). 375–383. 168 indexed citations

5.

Sitbon, Einat & Shmuel Pietrokovski. (2007). Occurrence of protein structure elements in conserved sequence regions.. BMC Structural Biology. 7(1). 3–3. 35 indexed citations

6.

Friedberg, Iddo, et al.. (2007). Using an alignment of fragment strings for comparing protein structures. Bioinformatics. 23(2). e219–e224. 27 indexed citations

7.

Amitai, Gil, et al.. (2004). Network Analysis of Protein Structures Identifies Functional Residues. Journal of Molecular Biology. 344(4). 1135–1146. 396 indexed citations

8.

Sitbon, Einat & Shmuel Pietrokovski. (2003). New types of conserved sequence domains in DNA-binding regions of homing endonucleases. Trends in Biochemical Sciences. 28(9). 473–477. 36 indexed citations

9.

Kunin, Victor, Bob Chan, Einat Sitbon, Lithwick Gila, & Shmuel Pietrokovski. (2001). Consistency analysis of similarity between multiple alignments: prediction of protein function and fold structure from analysis of local sequence motifs. Journal of Molecular Biology. 307(3). 939–949. 29 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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