Karl Malakian

950 total citations
23 papers, 692 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 692 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 interferon and immune responses (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 interferon and immune responses (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, Lih-Ling Lin, Désirée H.H. Tsao, Robert Czerwiński, Lidia Mosyak and Chu-Lai Hsiao 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 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karl Malakian United States 12 344 150 130 101 97 23 692
Shaoxian Sun United States 17 611 1.8× 58 0.4× 114 0.9× 109 1.1× 37 0.4× 34 919
Clarissa G. Jakob United States 17 594 1.7× 238 1.6× 119 0.9× 93 0.9× 91 0.9× 23 1.0k
Frederick Cohen United States 18 384 1.1× 70 0.5× 373 2.9× 72 0.7× 42 0.4× 31 810
Ambuj Kumar India 16 627 1.8× 108 0.7× 50 0.4× 35 0.3× 101 1.0× 37 840
Nicole Caspers United States 15 490 1.4× 40 0.3× 231 1.8× 42 0.4× 116 1.2× 19 809
Robert R. Lavieri United States 11 440 1.3× 61 0.4× 63 0.5× 49 0.5× 55 0.6× 17 685
David Hargreaves United Kingdom 16 594 1.7× 248 1.7× 39 0.3× 63 0.6× 31 0.3× 35 893
Yuval Inbar Israel 12 1.0k 3.0× 51 0.3× 89 0.7× 57 0.6× 234 2.4× 14 1.3k
Jianghong An Canada 13 865 2.5× 159 1.1× 67 0.5× 58 0.6× 323 3.3× 20 1.1k

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

20 of 20 papers shown
1.
Hamza, Bashar, Ángela Núñez, Henry Gómez, et al.. (2023). Abstract 2904: CAT-179, an allogeneic NK cell product expressing HER2-CAR, IL-15 and TGFβ dominant negative receptor, durably regresses HER2-expressing xenograft tumors in mice. Cancer Research. 83(7_Supplement). 2904–2904. 1 indexed citations
2.
Mascioni, Alessandro, Jaison Jacob, F. Moy, et al.. (2009). Backbone and side-chain assignment of the lipidated and non-lipidated forms of the meningococcal outer membrane protein LP2086. Biomolecular NMR Assignments. 3(1). 111–113. 2 indexed citations
3.
Mascioni, Alessandro, Franklin J. Moy, Lisa K. McNeil, et al.. (2009). NMR dynamics and antibody recognition of the meningococcal lipidated outer membrane protein LP2086 in micellar solution. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1798(2). 87–93. 17 indexed citations
4.
Mascioni, Alessandro, Deborah A. Dilts, Pamela S. Fink, et al.. (2008). Structural Basis for the Immunogenic Properties of the Meningococcal Vaccine Candidate LP2086. Journal of Biological Chemistry. 284(13). 8738–8746. 57 indexed citations
5.
Markus, Michelle A., Scott Wolfrom, Jianchang Li, et al.. (2008). Solution structure of wild-type human matrix metalloproteinase 12 (MMP-12) in complex with a tight-binding inhibitor. Journal of Biomolecular NMR. 41(1). 55–60. 9 indexed citations
6.
Tsao, Désirée H.H., Wah-Tung Hum, Sang Hsu, Karl Malakian, & Lih‐Ling Lin. (2007). The NMR structure of the TRADD death domain, a key protein in the TNF signaling pathway. Journal of Biomolecular NMR. 39(4). 337–342. 7 indexed citations
7.
Yang, Xiaoke, Elizabeth Diblasio, Ron Kriz, et al.. (2006). A homogeneous time-resolved fluorescence resonance energy transfer assay for IL-13/IL-13Rα1 interaction. Analytical Biochemistry. 351(1). 158–160. 2 indexed citations
8.
Czerwiński, Robert, Ann Aulabaugh, Rita Greco, et al.. (2005). Characterization of Protein Kinase C θ Activation Loop Autophosphorylation and the Kinase Domain Catalytic Mechanism. Biochemistry. 44(28). 9563–9573. 25 indexed citations
9.
Xu, Zhang‐Bao, Divya Chaudhary, Stéphane Olland, et al.. (2004). Catalytic Domain Crystal Structure of Protein Kinase C-θ (PKCθ). Journal of Biological Chemistry. 279(48). 50401–50409. 122 indexed citations
10.
Manas, Eric S., Rayomand J. Unwalla, Zhang B. Xu, et al.. (2004). Structure-Based Design of Estrogen Receptor-β Selective Ligands. Journal of the American Chemical Society. 126(46). 15106–15119. 152 indexed citations
11.
Underwood, Kathryn, Kevin Parris, Lidia Mosyak, et al.. (2003). Catalytically Active MAP KAP Kinase 2 Structures in Complex with Staurosporine and ADP Reveal Differences with the Autoinhibited Enzyme. Structure. 11(6). 627–636. 55 indexed citations
12.
Lin, Lih-Ling, et al.. (2001). Solution structure of the tumor necrosis factor receptor-1 death domain. Journal of Molecular Biology. 310(4). 895–906. 42 indexed citations
13.
Tsao, Désirée H.H., et al.. (2000). Solution Structure of N-TRADD and Characterization of the Interaction of N-TRADD and C-TRAF2, a Key Step in the TNFR1 Signaling Pathway. Molecular Cell. 5(6). 1051–1057. 50 indexed citations
14.
Malakian, Karl, et al.. (1989). Distribution of general noncentral positive definite quadratic form in K-dimensions. IEEE Transactions on Aerospace and Electronic Systems. 25(3). 411–414. 6 indexed citations
15.
Adomian, G. & Karl Malakian. (1986). Existence of the inverse of a linear stochastic operator. Journal of Mathematical Analysis and Applications. 114(1). 55–56. 1 indexed citations
16.
Adomian, G. & Karl Malakian. (1980). Inversion of stochastic partial differential operators—The linear case. Journal of Mathematical Analysis and Applications. 77(2). 505–512. 19 indexed citations
17.
Adomian, G. & Karl Malakian. (1980). Operator-theoretic solution of stochastic systems. Journal of Mathematical Analysis and Applications. 76(1). 183–201. 17 indexed citations
18.
Adomian, G. & Karl Malakian. (1980). Stochastic analysis. Mathematical Modelling. 1(3). 211–235. 12 indexed citations
19.
Adomian, G. & Karl Malakian. (1980). Self-correcting approximate solution by the iterative method for linear and nonlinear stochastic differential equations. Journal of Mathematical Analysis and Applications. 76(2). 309–327. 6 indexed citations
20.
Adomian, G. & Karl Malakian. (1979). Closure approximation error in the mean solution of stochastic differential equations by the hierarchy method. Journal of Statistical Physics. 21(2). 181–189. 5 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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2026