Manikandan Narayanan

3.3k total citations
31 papers, 639 citations indexed

About

Manikandan Narayanan is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Manikandan Narayanan has authored 31 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Hematology and 6 papers in Immunology. Recurrent topics in Manikandan Narayanan's work include Bioinformatics and Genomic Networks (8 papers), Acute Myeloid Leukemia Research (6 papers) and Gene expression and cancer classification (5 papers). Manikandan Narayanan is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Acute Myeloid Leukemia Research (6 papers) and Gene expression and cancer classification (5 papers). Manikandan Narayanan collaborates with scholars based in United States, United Kingdom and India. Manikandan Narayanan's co-authors include Eric E. Schadt, Jun Zhu, Richard M. Karp, Xia Yang, S. B. Lucas, Kai Wang, Douglas Arneson, Yong Zhang, John S. Tsang and Michael J. Lewis and has published in prestigious journals such as Bioinformatics, The Journal of Immunology and Sensors.

In The Last Decade

Manikandan Narayanan

31 papers receiving 618 citations

Peers

Countries citing papers authored by Manikandan Narayanan

Since Specialization

Citations

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

Fields of papers citing papers by Manikandan Narayanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manikandan Narayanan

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Alzheimer’s disease rewires gene coexpression networks coupling different brain regions 2024 ·npj Systems Biology and Applications ·(unknown), (unknown), (unknown), (unknown), Philge Philip, Manikandan Narayanan	7
2	A Cluster-Based Energy-Efficient Secure Optimal Path-Routing Protocol for Wireless Body-Area Sensor Networks 2023 ·Sensors ·(unknown), Manikandan Narayanan, Gayathri Ananthakrishnan, (unknown), M. K. Nallakaruppan, Siva Rama Krishnan Somayaji, A. Kannan, Surbhi Bhatia, Ahlam Almusharraf	19
3	MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication 2023 ·PLoS Computational Biology ·(unknown), Ramanathan Sethuraman, (unknown), Balaraman Ravindran, Manikandan Narayanan	6
4	An expert system for vibration-based surface roughness prediction using firefly algorithm and LSTM network 2023 ·Journal of the Brazilian Society of Mechanical Sciences and Engineering ·Andrews Athisayam, K. Manisekar, (unknown), G. Sivakumar, Manikandan Narayanan	4
5	Predicting cross-tissue hormone–gene relations using balanced word embeddings 2022 ·Bioinformatics ·(unknown), (unknown), (unknown), (unknown), Manikandan Narayanan	3
6	Effect of Inter-layer Coupling on Multilayer Network Centrality Measures 2019 ·Journal of the Indian Institute of Science ·(unknown), Manikandan Narayanan, Balaraman Ravindran	6
7	Equilibrative nucleoside transporter ENT1 as a biomarker of Huntington disease 2016 ·Neurobiology of Disease ·Xavier Guitart, Jordi Bonaventura, William Rea, Marco Orrù, Lucrezia Cellai, Ilaria Dettori, Felicita Pedata, Marc Brugarolas, Antonio Cortés, Vicent Casadó, Ching‐Pang Chang, Manikandan Narayanan, Yijuang Chern, Sergi Ferré	18
8	Robust Inference of Cell-to-Cell Expression Variations from Single- and K-Cell Profiling 2016 ·PLoS Computational Biology ·Manikandan Narayanan, Andrew J. Martins, John S. Tsang	6
9	Lineage relationship of CD8+ T cell subsets is revealed by progressive changes in the epigenetic landscape 2015 ·Cellular and Molecular Immunology ·Joseph G. Crompton, Manikandan Narayanan, Suresh Cuddapah, Rahul Roychoudhuri, Yun Ji, Wenjing Yang, Shashank J. Patel, Madhusudhanan Sukumar, Douglas C. Palmer, Weiqun Peng, Ena Wang, Francesco M. Marincola, Christopher A. Klebanoff, Keji Zhao, John S. Tsang, Luca Gattinoni, Nicholas P. Restifo	86
10	Common dysregulation network in the human prefrontal cortex underlies two neurodegenerative diseases 2014 ·Molecular Systems Biology ·Manikandan Narayanan, Jimmy Huynh, Kai Wang, Xia Yang, Seungyeul Yoo, Joshua McElwee, Bin Zhang, Chunsheng Zhang, John R. Lamb, Tao Xie, Christine Suver, Cliona Molony, Stacey Melquist, Andrew D. Johnson, Guoping Fan, David J. Stone, Eric E. Schadt, Patrizia Casaccia, Valur Emilsson, Jun Zhu	138
11	Characterization of Functional Reprogramming during Osteoclast Development Using Quantitative Proteomics and mRNA Profiling 2014 ·Molecular & Cellular Proteomics ·Eunkyung An, Manikandan Narayanan, Nathan P. Manes, Aleksandra Nita‐Lazar	33
12	Simultaneous Clustering of Multiple Gene Expression and Physical Interaction Datasets 2010 ·PLoS Computational Biology ·Manikandan Narayanan, Adrian Vetta, Eric E. Schadt, Jun Zhu	28
13	Spontaneous complete remission of acute myeloid leukaemia with interstitial deletion of chromosome 5 2008 ·Clinical & Laboratory Haematology ·Manikandan Narayanan, Michael J. Lewis	2
14	Generating Permutation Instructions from a High-Level Description 2003 ·UC Berkeley ·Manikandan Narayanan, Katherine Yelick	5
15	Acute lymphoblastic leukaemia following Hodgkin's disease is associated with a good prognosis 1994 ·British Journal of Haematology ·Manikandan Narayanan, G.R. Morgenstern, James Chang, Christine J. Harrison, Malcolm Ranson, J.H. Scarffe	6
16	Long‐term follow‐up of aplastic anaemia 1994 ·British Journal of Haematology ·Manikandan Narayanan, C. G. Geary, Anthony J. Freemont, (unknown)	22
17	Three cases of the myelodysplastic syndrome with pericentric inversion of chromosome 16 1993 ·British Journal of Haematology ·Manikandan Narayanan, C. G. Geary, Christine J. Harrison, K Cinkotai, Michael J. Lewis	6
18	Failure of mithramycin to control the myeloid blast phase of chronic granulocytic leukemia: A report on nine patients and review of the literature 1991 ·Hematological Oncology ·Peter Johnson, J. A. Liu Yin, Manikandan Narayanan, C. G. Geary, Elizabeth M. Love, K Cinkotai	6
19	Dietary deficiency of vitamin B12 is associated with low serum cobalamin levels in non‐vegetarians 1991 ·European Journal Of Haematology ·Manikandan Narayanan, D. W. Dawson, Michael J. Lewis	19
20	Acute monocytic leukaemia and t(2;6) (p21;q26) translocation 1989 ·Clinical & Laboratory Haematology ·Elizabeth M. Love, J. A. Liu Yin, Christine J. Harrison, Manikandan Narayanan, M. Bhavnani	2

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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