Tamar Kis-Papo

523 total citations
10 papers, 314 citations indexed

About

Tamar Kis-Papo is a scholar working on Ecology, Molecular Biology and Endocrinology. According to data from OpenAlex, Tamar Kis-Papo has authored 10 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 4 papers in Molecular Biology and 2 papers in Endocrinology. Recurrent topics in Tamar Kis-Papo's work include Microbial Community Ecology and Physiology (6 papers), Genomics and Phylogenetic Studies (3 papers) and Vibrio bacteria research studies (2 papers). Tamar Kis-Papo is often cited by papers focused on Microbial Community Ecology and Physiology (6 papers), Genomics and Phylogenetic Studies (3 papers) and Vibrio bacteria research studies (2 papers). Tamar Kis-Papo collaborates with scholars based in Israel, United States and United Kingdom. Tamar Kis-Papo's co-authors include Solomon P. Wasser, Aharon Oren, Eviatar Nevo, Eviatar Nevo, Isabella Grishkan, Valery Kirzhner, Carol D. Litchfield, Gerhard Rambold, Shai Kendler and Sierra Young and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Hydrobiologia.

In The Last Decade

Tamar Kis-Papo

10 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamar Kis-Papo Israel 7 137 116 110 81 50 10 314
Serena Ruisi Italy 5 261 1.9× 154 1.3× 99 0.9× 129 1.6× 255 5.1× 7 488
Michael Fürnkranz Austria 6 76 0.6× 293 2.5× 70 0.6× 89 1.1× 63 1.3× 7 397
Johan Bentzer Sweden 7 105 0.8× 399 3.4× 56 0.5× 38 0.5× 57 1.1× 7 539
Filipe de Carvalho Victória Brazil 10 143 1.0× 203 1.8× 145 1.3× 25 0.3× 96 1.9× 47 433
Susan Schönmann Switzerland 6 203 1.5× 302 2.6× 133 1.2× 41 0.5× 85 1.7× 6 501
Mark D. Azevedo United States 13 38 0.3× 251 2.2× 120 1.1× 52 0.6× 98 2.0× 23 415
Donatella Tesei Austria 12 133 1.0× 141 1.2× 100 0.9× 129 1.6× 171 3.4× 15 492
Valéria M. Godinho Brazil 9 326 2.4× 92 0.8× 155 1.4× 174 2.1× 101 2.0× 11 517
Enrico Casati Italy 5 52 0.4× 369 3.2× 81 0.7× 55 0.7× 23 0.5× 7 450
S. E. Lindow United States 13 77 0.6× 511 4.4× 140 1.3× 159 2.0× 57 1.1× 23 660

Countries citing papers authored by Tamar Kis-Papo

Since Specialization
Citations

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

Fields of papers citing papers by Tamar Kis-Papo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamar Kis-Papo. 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 Tamar Kis-Papo. The network helps show where Tamar Kis-Papo may publish in the future.

Co-authorship network of co-authors of Tamar Kis-Papo

This figure shows the co-authorship network connecting the top 25 collaborators of Tamar Kis-Papo. A scholar is included among the top collaborators of Tamar Kis-Papo 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 Tamar Kis-Papo. Tamar Kis-Papo 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.
Kendler, Shai, Sierra Young, Hanan Sela, et al.. (2022). Detection of crop diseases using enhanced variability imagery data and convolutional neural networks. Computers and Electronics in Agriculture. 193. 106732–106732. 32 indexed citations
2.
Moore, John E., et al.. (2020). Survival of Mycobacterium abscessus and Staphylococcus aureus in saline waters of the Dead Sea: implications for health tourists. Journal of Travel Medicine. 27(6). 3 indexed citations
3.
Kis-Papo, Tamar, et al.. (2017). Fungal biodiversity in the hypersaline Dead Sea: extinction and evolution. Biological Journal of the Linnean Society. 121(1). 122–132. 13 indexed citations
4.
Shteinberg, Michal, Tamar Kis-Papo, B. Cherie Millar, et al.. (2015). Survival dynamics of cystic fibrosis-related Gram-negative bacterial pathogens (Pseudomonas aeruginosa and Burkholderia cenocepacia) in Dead Sea and Atlantic Ocean waters. Journal of Water and Health. 13(3). 773–776. 4 indexed citations
5.
Kis-Papo, Tamar, Alfons R. Weig, Robert Riley, et al.. (2014). Genomic adaptations of the halophilic Dead Sea filamentous fungus Eurotium rubrum. Nature Communications. 5(1). 3745–3745. 54 indexed citations
6.
Kis-Papo, Tamar, Aharon Oren, Solomon P. Wasser, & Eviatar Nevo. (2003). Survival of Filamentous Fungi in Hypersaline Dead Sea Water. Microbial Ecology. 45(2). 183–190. 65 indexed citations
7.
Kis-Papo, Tamar, Valery Kirzhner, Solomon P. Wasser, & Eviatar Nevo. (2003). Evolution of genomic diversity and sex at extreme environments: Fungal life under hypersaline Dead Sea stress. Proceedings of the National Academy of Sciences. 100(25). 14970–14975. 46 indexed citations
8.
Litchfield, Carol D., et al.. (2001). Comparative metabolic diversity in two solar salterns. Hydrobiologia. 466(1-3). 73–80. 6 indexed citations
9.
Kis-Papo, Tamar, Isabella Grishkan, Aharon Oren, Solomon P. Wasser, & Eviatar Nevo. (2001). Spatiotemporal diversity of filamentous fungi in the hypersaline Dead Sea. Mycological Research. 105(6). 749–756. 60 indexed citations
10.
Litchfield, Carol D., et al.. (2000). Comparisons of the polar lipid and pigment profiles of two solar salterns located in Newark, California, U.S.A., and Eilat, Israel. Extremophiles. 4(5). 259–265. 31 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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