Yakir Nataf

640 total citations
8 papers, 497 citations indexed

About

Yakir Nataf is a scholar working on Biomedical Engineering, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Yakir Nataf has authored 8 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 3 papers in Molecular Biology and 2 papers in Nutrition and Dietetics. Recurrent topics in Yakir Nataf's work include Biofuel production and bioconversion (4 papers), Microbial Metabolites in Food Biotechnology (2 papers) and Advanced Biosensing Techniques and Applications (1 paper). Yakir Nataf is often cited by papers focused on Biofuel production and bioconversion (4 papers), Microbial Metabolites in Food Biotechnology (2 papers) and Advanced Biosensing Techniques and Applications (1 paper). Yakir Nataf collaborates with scholars based in Israel, United States and Germany. Yakir Nataf's co-authors include Yuval Shoham, Raphael Lamed, Edward A. Bayer, Ilya Borovok, Liat Bahari, Abraham L. Sonenshein, Yoseph Shaaltiel, Tali Kizhner, Avidor Shulman and Yoram Tekoah and has published in prestigious journals such as Proceedings of the National Academy of Sciences, FEBS Letters and Journal of Bacteriology.

In The Last Decade

Yakir Nataf

8 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yakir Nataf Israel	8	309	250	234	93	56	8	497
Emily Kwan Canada	12	285 0.9×	248 1.0×	261 1.1×	116 1.2×	74 1.3×	18	501
Sijing Jiang China	12	272 0.9×	64 0.3×	119 0.5×	93 1.0×	31 0.6×	29	422
Nidhi Adlakha India	11	211 0.7×	195 0.8×	113 0.5×	56 0.6×	17 0.3×	22	356
C. Reverbel-Leroy France	6	197 0.6×	361 1.4×	286 1.2×	155 1.7×	109 1.9×	6	463
Christoph Winterhalter Germany	7	295 1.0×	240 1.0×	247 1.1×	76 0.8×	14 0.3×	7	469
Márcio José Poças-Fonseca Brazil	15	369 1.2×	274 1.1×	152 0.6×	172 1.8×	23 0.4×	39	663
K.L. Kohlmann United States	11	257 0.8×	225 0.9×	120 0.5×	66 0.7×	34 0.6×	12	477
Julio Berríos Chile	18	546 1.8×	129 0.5×	81 0.3×	59 0.6×	20 0.4×	40	709
Kyung Hwa Jung South Korea	11	180 0.6×	117 0.5×	96 0.4×	26 0.3×	16 0.3×	31	324
Su Jin Yoo South Korea	11	274 0.9×	61 0.2×	70 0.3×	55 0.6×	22 0.4×	43	543

Countries citing papers authored by Yakir Nataf

Since Specialization

Citations

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

Fields of papers citing papers by Yakir Nataf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yakir Nataf

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

All Works

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8 of 8 papers shown

Shulman, Avidor, Tali Kizhner, Yaniv Azulay, et al.. (2018). Development and Analytical Characterization of Pegunigalsidase Alfa, a Chemically Cross-Linked Plant Recombinant Human α-Galactosidase-A for Treatment of Fabry Disease. Bioconjugate Chemistry. 29(5). 1630–1639. 34 indexed citations

Tekoah, Yoram, Avidor Shulman, Tali Kizhner, et al.. (2015). Large‐scale production of pharmaceutical proteins in plant cell culture—the protalix experience. Plant Biotechnology Journal. 13(8). 1199–1208. 123 indexed citations

Holwerda, Evert K., Marybeth Maloney, Daniel G. Olson, et al.. (2015). Three cellulosomal xylanase genes inClostridium thermocellum are regulated by both vegetative SigA (σ^A) and alternative SigI6 (σ^I6) factors. FEBS Letters. 589(20PartB). 3133–3140. 21 indexed citations

Jindou, Sadanari, Liat Bahari, Yakir Nataf, et al.. (2010). The unique set of putative membrane-associated anti-σ factors in Clostridium thermocellum suggests a novel extracellular carbohydrate-sensing mechanism involved in gene regulation. FEMS Microbiology Letters. 308(1). 84–93. 72 indexed citations

Bahari, Liat, Ilya Borovok, Bareket Dassa, et al.. (2010). Glycoside hydrolases as components of putative carbohydrate biosensor proteins in Clostridium thermocellum. Journal of Industrial Microbiology & Biotechnology. 38(7). 825–832. 40 indexed citations

Walter, Johanna‐Gabriela, Frank Stahl, Michael Reck, et al.. (2010). Protein microarrays: Reduced autofluorescence and improved LOD. Engineering in Life Sciences. 10(2). 103–108. 21 indexed citations

Nataf, Yakir, Liat Bahari, Ilya Borovok, et al.. (2010). Clostridium thermocellum cellulosomal genes are regulated by extracytoplasmic polysaccharides via alternative sigma factors. Proceedings of the National Academy of Sciences. 107(43). 18646–18651. 107 indexed citations

Nataf, Yakir, Sima Yaron, Frank Stahl, et al.. (2008). Cellodextrin and Laminaribiose ABC Transporters in Clostridium thermocellum. Journal of Bacteriology. 191(1). 203–209. 79 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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