Faina Gelman

81 total papers · 2.1k total citations
71 papers, 1.6k citations indexed

About

Faina Gelman is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Inorganic Chemistry. According to data from OpenAlex, Faina Gelman has authored 71 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Health, Toxicology and Mutagenesis, 23 papers in Pollution and 17 papers in Inorganic Chemistry. Recurrent topics in Faina Gelman's work include Toxic Organic Pollutants Impact (22 papers), Microbial bioremediation and biosurfactants (17 papers) and Isotope Analysis in Ecology (8 papers). Faina Gelman is often cited by papers focused on Toxic Organic Pollutants Impact (22 papers), Microbial bioremediation and biosurfactants (17 papers) and Isotope Analysis in Ecology (8 papers). Faina Gelman collaborates with scholars based in Israel, Germany and Poland. Faina Gelman's co-authors include Jochanan Blum, David Avnir, Ludwik Halicz, Zeev Ronen, Orit Sivan, Ovadia Lev, Herbert Schumann, Werner Eckert, Itay Bar-Or and Seth G. John and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Environmental Science & Technology.

In The Last Decade

Faina Gelman

69 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Faina Gelman 395 325 290 289 284 71 1.6k
Wolfgang H. Höll 210 0.5× 150 0.5× 240 0.8× 200 0.7× 125 0.4× 96 2.3k
Robert A. Chalmers 155 0.4× 371 1.1× 162 0.6× 238 0.8× 274 1.0× 53 1.9k
Valery S. Petrosyan 866 2.2× 245 0.8× 120 0.4× 319 1.1× 412 1.5× 143 1.9k
Mikhail Borisover 164 0.4× 487 1.5× 165 0.6× 390 1.3× 76 0.3× 96 2.3k
Hans Borén 282 0.7× 244 0.8× 107 0.4× 353 1.2× 95 0.3× 78 2.1k
Kazumasa Ueda 265 0.7× 205 0.6× 269 0.9× 215 0.7× 178 0.6× 97 2.0k
Svetlana Pakhomova 274 0.7× 376 1.2× 190 0.7× 137 0.5× 72 0.3× 102 2.0k
Tapan Saha 358 0.9× 326 1.0× 183 0.6× 140 0.5× 177 0.6× 104 2.0k
Ewa Lipczyńska‐Kochany 277 0.7× 318 1.0× 212 0.7× 267 0.9× 95 0.3× 50 1.9k
W. H. Evans 356 0.9× 167 0.5× 542 1.9× 323 1.1× 185 0.7× 47 2.1k

Countries citing papers authored by Faina Gelman

Since Specialization
Citations

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

Fields of papers citing papers by Faina Gelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faina Gelman

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

All Works

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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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