Mani Ravichandran

1.0k total citations
8 papers, 670 citations indexed

About

Mani Ravichandran is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Mani Ravichandran has authored 8 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Mani Ravichandran's work include RNA modifications and cancer (2 papers), Peptidase Inhibition and Analysis (2 papers) and Ubiquitin and proteasome pathways (2 papers). Mani Ravichandran is often cited by papers focused on RNA modifications and cancer (2 papers), Peptidase Inhibition and Analysis (2 papers) and Ubiquitin and proteasome pathways (2 papers). Mani Ravichandran collaborates with scholars based in Canada, United States and Germany. Mani Ravichandran's co-authors include C.H. Arrowsmith, Sirano Dhe‐Paganon, Hui Ouyang, Aiping Dong, P. Loppnau, Yousuf Ali, Farrell MacKenzie, R. Grace Zhai, Wei Qiu and Michael Schwake and has published in prestigious journals such as Nature, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Mani Ravichandran

8 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
Mani Ravichandran Canada 8 488 140 116 88 83 8 670
Ziyou Cui United States 17 551 1.1× 135 1.0× 65 0.6× 58 0.7× 76 0.9× 26 782
Albert Gubern Spain 10 396 0.8× 74 0.5× 91 0.8× 74 0.8× 93 1.1× 12 665
Yu‐Chi Juang United States 14 801 1.6× 176 1.3× 154 1.3× 80 0.9× 106 1.3× 16 922
Noriaki Kitamura Japan 12 483 1.0× 127 0.9× 86 0.7× 116 1.3× 87 1.0× 21 688
Benjamin C. Jennings United States 10 484 1.0× 99 0.7× 56 0.5× 66 0.8× 180 2.2× 18 655
Benjamin Yazdanpanah Germany 7 459 0.9× 82 0.6× 125 1.1× 62 0.7× 80 1.0× 8 592
Maria Buxadé Spain 11 500 1.0× 93 0.7× 209 1.8× 56 0.6× 116 1.4× 14 805
Xiaodi Deng United States 13 339 0.7× 119 0.8× 88 0.8× 38 0.4× 55 0.7× 22 536
Emma Black United Kingdom 8 436 0.9× 123 0.9× 133 1.1× 44 0.5× 50 0.6× 11 694
Ok Sun Bang South Korea 10 474 1.0× 165 1.2× 117 1.0× 73 0.8× 91 1.1× 11 628

Countries citing papers authored by Mani Ravichandran

Since Specialization
Citations

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

Fields of papers citing papers by Mani Ravichandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mani Ravichandran

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

All Works

8 of 8 papers shown
1.
Halabelian, Levon, Mani Ravichandran, Yanjun Li, et al.. (2019). Structural basis of HMCES interactions with abasic DNA and multivalent substrate recognition. Nature Structural & Molecular Biology. 26(7). 607–612. 48 indexed citations
2.
Freitas, Renato Ferreira de, Rachel Harding, Ivan Franzoni, et al.. (2018). Identification and Structure–Activity Relationship of HDAC6 Zinc-Finger Ubiquitin Binding Domain Inhibitors. Journal of Medicinal Chemistry. 61(10). 4517–4527. 50 indexed citations
3.
Harding, Rachel, Renato Ferreira de Freitas, P.M. Collins, et al.. (2017). Small Molecule Antagonists of the Interaction between the Histone Deacetylase 6 Zinc-Finger Domain and Ubiquitin. Journal of Medicinal Chemistry. 60(21). 9090–9096. 29 indexed citations
4.
Neculai, Dante, Michael Schwake, Mani Ravichandran, et al.. (2013). Structure of LIMP-2 provides functional insights with implications for SR-BI and CD36. Nature. 504(7478). 172–176. 224 indexed citations
5.
Nady, Nataliya, Nan Zhong, Shili Duan, et al.. (2012). Histone Recognition by Human Malignant Brain Tumor Domains. Journal of Molecular Biology. 423(5). 702–718. 43 indexed citations
6.
Ruan, Jianbin, Hui Ouyang, M.F. Amaya, et al.. (2012). Structural Basis of the Chromodomain of Cbx3 Bound to Methylated Peptides from Histone H1 and G9a. PLoS ONE. 7(4). e35376–e35376. 25 indexed citations
7.
Liao, Jack, Robert Lam, Václav Brázda, et al.. (2011). Interferon-Inducible Protein 16: Insight into the Interaction with Tumor Suppressor p53. Structure. 19(3). 418–429. 82 indexed citations
8.
Ouyang, Hui, Yousuf Ali, Mani Ravichandran, et al.. (2011). Protein Aggregates Are Recruited to Aggresome by Histone Deacetylase 6 via Unanchored Ubiquitin C Termini. Journal of Biological Chemistry. 287(4). 2317–2327. 169 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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