Khajak Berberian

12 total papers · 537 total citations
9 papers, 443 citations indexed

About

Khajak Berberian is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Khajak Berberian has authored 9 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Khajak Berberian's work include Lipid Membrane Structure and Behavior (6 papers), Cellular transport and secretion (3 papers) and Calcium signaling and nucleotide metabolism (2 papers). Khajak Berberian is often cited by papers focused on Lipid Membrane Structure and Behavior (6 papers), Cellular transport and secretion (3 papers) and Calcium signaling and nucleotide metabolism (2 papers). Khajak Berberian collaborates with scholars based in United States, Germany and Canada. Khajak Berberian's co-authors include Manfred Lindau, Qinghua Fang, Kassandra Kisler, Ismail M. Hafez, Alexis J. Torres, Vicente Valero, Jakob B. Sørensen, Harold G. Craighead, Liang‐Wei Gong and Gregor Dernick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Analytical Chemistry.

In The Last Decade

Khajak Berberian

8 papers receiving 437 citations

Author Peers

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

Author						Papers	Cites
Khajak Berberian	279	231	188	84	65	9	443
Lisa Mellander	245 0.9×	129 0.6×	166 0.9×	103 1.2×	32 0.5×	14	463
Spencer E. Hochstetler	296 1.1×	137 0.6×	247 1.3×	60 0.7×	36 0.6×	7	431
Jeffrey A. Jankowski	203 0.7×	101 0.4×	158 0.8×	95 1.1×	53 0.8×	6	421
Kevin P. Troyer	146 0.5×	67 0.3×	156 0.8×	144 1.7×	51 0.8×	8	387
Chaoyi Gu	234 0.8×	70 0.3×	113 0.6×	130 1.5×	47 0.7×	24	388
Ivan B. Dimov	80 0.3×	85 0.4×	75 0.4×	18 0.2×	25 0.4×	16	431
Rongrong Xiao	124 0.4×	33 0.1×	101 0.5×	97 1.2×	35 0.5×	19	373
Enrico Defranchi	156 0.6×	114 0.5×	233 1.2×	60 0.7×	4 0.1×	9	409
C. Crozatier	154 0.6×	22 0.1×	71 0.4×	57 0.7×	48 0.7×	14	421
Patricia Manos	126 0.5×	48 0.2×	152 0.8×	11 0.1×	14 0.2×	19	385

Countries citing papers authored by Khajak Berberian

Since Specialization

Citations

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

Fields of papers citing papers by Khajak Berberian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khajak Berberian

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