Rina Feder

8 total papers · 598 total citations
6 papers, 497 citations indexed

About

Rina Feder is a scholar working on Molecular Biology, Microbiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rina Feder has authored 6 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Microbiology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rina Feder's work include Antimicrobial Peptides and Activities (4 papers), Biochemical and Structural Characterization (2 papers) and Neurobiology and Insect Physiology Research (2 papers). Rina Feder is often cited by papers focused on Antimicrobial Peptides and Activities (4 papers), Biochemical and Structural Characterization (2 papers) and Neurobiology and Insect Physiology Research (2 papers). Rina Feder collaborates with scholars based in Israel and Germany. Rina Feder's co-authors include Amram Mor, Arie Dagan, Leonid Gaidukov, Shiri Navon‐Venezia, Yehuda Carmeli, Hagai Ginsburg, Miriam Krugliak, Chaim Gilon, David A. Jans and Abraham Loyter and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Rina Feder

6 papers receiving 487 citations

Author Peers

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

Author						Papers	Cites
Rina Feder	390	342	134	48	36	6	497
K Krawczyk	300 0.8×	290 0.8×	115 0.9×	18 0.4×	32 0.9×	9	491
Luciano Neves de Medeiros	327 0.8×	396 1.2×	101 0.8×	19 0.4×	34 0.9×	15	553
Pedro I. Silva	384 1.0×	327 1.0×	138 1.0×	56 1.2×	26 0.7×	12	550
Alison Maxwell	300 0.8×	258 0.8×	191 1.4×	26 0.5×	49 1.4×	9	580
Yanjing Xiao	495 1.3×	360 1.1×	298 2.2×	16 0.3×	20 0.6×	6	617
Liv Tone Eliassen	302 0.8×	385 1.1×	126 0.9×	15 0.3×	35 1.0×	7	515
Amar Patil	310 0.8×	234 0.7×	178 1.3×	24 0.5×	80 2.2×	14	463
Viswanatha Krishnakumari	408 1.0×	343 1.0×	119 0.9×	25 0.5×	119 3.3×	16	514
Brian C. S. Chia	332 0.9×	370 1.1×	61 0.5×	33 0.7×	76 2.1×	11	519
M. Charlet	309 0.8×	247 0.7×	268 2.0×	52 1.1×	26 0.7×	6	545

Countries citing papers authored by Rina Feder

Since Specialization

Citations

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

Fields of papers citing papers by Rina Feder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rina Feder

This figure shows the co-authorship network connecting the top 25 collaborators of Rina Feder. A scholar is included among the top collaborators of Rina Feder 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 Rina Feder. Rina Feder 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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