M.K. Manik

1.5k total citations
11 papers, 382 citations indexed

About

M.K. Manik is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, M.K. Manik has authored 11 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Epidemiology. Recurrent topics in M.K. Manik's work include Immune Response and Inflammation (4 papers), Plant-Microbe Interactions and Immunity (2 papers) and Lipid metabolism and biosynthesis (2 papers). M.K. Manik is often cited by papers focused on Immune Response and Inflammation (4 papers), Plant-Microbe Interactions and Immunity (2 papers) and Lipid metabolism and biosynthesis (2 papers). M.K. Manik collaborates with scholars based in Australia, South Korea and United Kingdom. M.K. Manik's co-authors include Junsen Tong, Young Jun Im, Huiseon Yang, Boštjan Kobe, Natsumi Maruta, Hayden Burdett, Sulin Li, Thomas Ve, Jeffrey D. Nanson and Weixi Gu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and FEBS Letters.

In The Last Decade

M.K. Manik

11 papers receiving 378 citations

Author Peers

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

Author Last Decade Papers Cites
M.K. Manik 208 126 90 68 33 11 382
Hila Yehuda 216 1.0× 162 1.3× 69 0.8× 32 0.5× 53 1.6× 18 408
Cuiping Wang 258 1.2× 225 1.8× 28 0.3× 36 0.5× 14 0.4× 32 495
Stefanie Platz 381 1.8× 112 0.9× 73 0.8× 17 0.3× 17 0.5× 13 483
H.-R. Zhou 196 0.9× 328 2.6× 23 0.3× 66 1.0× 8 0.2× 9 476
Junsen Tong 378 1.8× 57 0.5× 209 2.3× 17 0.3× 46 1.4× 13 500
Jiangwei Zhang 318 1.5× 117 0.9× 33 0.4× 23 0.3× 85 2.6× 10 429
Sérgio Amorim de Alencar 211 1.0× 63 0.5× 22 0.2× 37 0.5× 17 0.5× 25 366
S Lebepe-Mazur 159 0.8× 280 2.2× 75 0.8× 31 0.5× 24 0.7× 14 413
Clara M. Bien 295 1.4× 134 1.1× 88 1.0× 26 0.4× 200 6.1× 7 528

Countries citing papers authored by M.K. Manik

Since Specialization
Citations

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

Fields of papers citing papers by M.K. Manik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.K. Manik. 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 M.K. Manik. The network helps show where M.K. Manik may publish in the future.

Co-authorship network of co-authors of M.K. Manik

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

All Works

11 of 11 papers shown
1.
Manik, M.K., Le Xiao, Weixi Gu, et al.. (2025). Structural basis for TIR domain–mediated innate immune signaling by Toll-like receptor adaptors TRIF and TRAM. Proceedings of the National Academy of Sciences. 122(2). e2418988122–e2418988122. 5 indexed citations
2.
Li, Sulin, M.K. Manik, Yun Shi, Boštjan Kobe, & Thomas Ve. (2023). Toll/interleukin-1 receptor domains in bacterial and plant immunity. Current Opinion in Microbiology. 74. 102316–102316. 14 indexed citations
3.
Bayless, Adam M., Sisi Chen, Xiaoyan Xu, et al.. (2023). Plant and prokaryotic TIR domains generate distinct cyclic ADPR NADase products. Science Advances. 9(11). eade8487–eade8487. 45 indexed citations
4.
Maruta, Natsumi, et al.. (2022). Structural basis of NLR activation and innate immune signalling in plants. Immunogenetics. 74(1). 5–26. 68 indexed citations
5.
Luo, Zhenyao, M.K. Manik, Avril A. B. Robertson, et al.. (2022). AICAR transformylase/IMP cyclohydrolase (ATIC) is essential for de novo purine biosynthesis and infection by Cryptococcus neoformans. Journal of Biological Chemistry. 298(10). 102453–102453. 7 indexed citations
7.
Gu, Weixi, Natsumi Maruta, Yan Li, et al.. (2021). Structural Evolution of TIR-Domain Signalosomes. Frontiers in Immunology. 12. 784484–784484. 35 indexed citations
8.
Tong, Junsen, M.K. Manik, & Young Jun Im. (2018). Structural basis of sterol recognition and nonvesicular transport by lipid transfer proteins anchored at membrane contact sites. Proceedings of the National Academy of Sciences. 115(5). E856–E865. 69 indexed citations
9.
Manik, M.K., Huiseon Yang, Junsen Tong, & Young Jun Im. (2017). Structure of Yeast OSBP-Related Protein Osh1 Reveals Key Determinants for Lipid Transport and Protein Targeting at the Nucleus-Vacuole Junction. Structure. 25(4). 617–629.e3. 52 indexed citations
10.
Tong, Junsen, M.K. Manik, Huiseon Yang, & Young Jun Im. (2016). Structural insights into nonvesicular lipid transport by the oxysterol binding protein homologue family. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1861(8). 928–939. 36 indexed citations
11.
Manik, M.K., et al.. (2013). A comparative study of the antioxidant, antimicrobial, cytotoxic and thrombolytic potential of the fruits and leaves of Spondias dulcis. Asian Pacific Journal of Tropical Biomedicine. 3(9). 682–691. 43 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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