Karl Malakian

43 total papers · 947 total citations
23 papers, 690 citations indexed

About

Karl Malakian is a scholar working on Molecular Biology, Immunology and Computational Theory and Mathematics. According to data from OpenAlex, Karl Malakian has authored 23 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Karl Malakian's work include Protein Kinase Regulation and GTPase Signaling (3 papers), Bacterial Infections and Vaccines (3 papers) and Stochastic processes and financial applications (2 papers). Karl Malakian is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), Bacterial Infections and Vaccines (3 papers) and Stochastic processes and financial applications (2 papers). Karl Malakian collaborates with scholars based in United States and Canada. Karl Malakian's co-authors include G. Adomian, Scott Wolfrom, Mark Stahl, W.S. Somers, Sang Hsu, Désirée H.H. Tsao, Lih-Ling Lin, Robert Czerwiński, Chu-Lai Hsiao and Lidia Mosyak and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Karl Malakian

21 papers receiving 665 citations

Author Peers

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

Author						Papers	Cites
Karl Malakian	345	150	129	101	98	23	690
Guillaume Brysbaert	476 1.4×	43 0.3×	85 0.7×	98 1.0×	134 1.4×	36	700
Robert R. Lavieri	439 1.3×	61 0.4×	63 0.5×	49 0.5×	53 0.5×	17	675
Elif Özkırımlı	455 1.3×	35 0.2×	61 0.5×	73 0.7×	87 0.9×	43	756
Peter R. McDonald	455 1.3×	54 0.4×	43 0.3×	79 0.8×	55 0.6×	44	769
Kristine Svenson	331 1.0×	72 0.5×	164 1.3×	59 0.6×	57 0.6×	14	602
David G. Osterman	510 1.5×	48 0.3×	61 0.5×	76 0.8×	19 0.2×	16	672
Manuela S. Murgueitio	402 1.2×	20 0.1×	67 0.5×	154 1.5×	271 2.8×	19	736
Dale A. Stringfellow	255 0.7×	49 0.3×	198 1.5×	136 1.3×	12 0.1×	24	705
Ronak Tilvawala	238 0.7×	48 0.3×	47 0.4×	208 2.1×	69 0.7×	20	597
Anthony J. Chubb	280 0.8×	30 0.2×	60 0.5×	50 0.5×	35 0.4×	24	607

Countries citing papers authored by Karl Malakian

Since Specialization

Citations

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

Fields of papers citing papers by Karl Malakian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Malakian

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