Muthukumar Subramanian

571 total citations
29 papers, 374 citations indexed

About

Muthukumar Subramanian is a scholar working on Molecular Biology, Plant Science and Computer Networks and Communications. According to data from OpenAlex, Muthukumar Subramanian has authored 29 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Plant Science and 3 papers in Computer Networks and Communications. Recurrent topics in Muthukumar Subramanian's work include Weed Control and Herbicide Applications (3 papers), Biochemical and Molecular Research (2 papers) and IoT and Edge/Fog Computing (2 papers). Muthukumar Subramanian is often cited by papers focused on Weed Control and Herbicide Applications (3 papers), Biochemical and Molecular Research (2 papers) and IoT and Edge/Fog Computing (2 papers). Muthukumar Subramanian collaborates with scholars based in India, United States and Japan. Muthukumar Subramanian's co-authors include Daniel L. Siehl, Paul Bernasconi, Jeff D. Reagan, R. J. Anderson, Gloria K. Muday, Philip Haworth, E Keshamma, Purabi Saha, Priyanka Kaushik and S. B. G. Tilak Babu and has published in prestigious journals such as Journal of Clinical Oncology, PLANT PHYSIOLOGY and Journal of Bacteriology.

In The Last Decade

Muthukumar Subramanian

28 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muthukumar Subramanian India 12 188 150 33 29 23 29 374
Ankit Srivastava India 9 113 0.6× 82 0.5× 34 1.0× 17 0.6× 6 0.3× 28 430
Miguel A. Juárez United Kingdom 13 271 1.4× 229 1.5× 22 0.7× 10 0.3× 14 0.6× 36 795
Ying Luo China 12 164 0.9× 78 0.5× 53 1.6× 24 0.8× 7 0.3× 24 282
Chris Partridge United States 13 322 1.7× 95 0.6× 14 0.4× 40 1.4× 8 0.3× 37 638
Gandolfina Farina Italy 13 102 0.5× 132 0.9× 78 2.4× 39 1.3× 57 2.5× 21 325
Miroslav Pokorný Czechia 11 208 1.1× 73 0.5× 68 2.1× 31 1.1× 6 0.3× 52 420
Tzu‐Yu Chen United States 13 129 0.7× 58 0.4× 49 1.5× 43 1.5× 5 0.2× 29 361
Madhuri Gupta India 12 96 0.5× 116 0.8× 39 1.2× 47 1.6× 5 0.2× 45 380
Yongmei Hu China 15 202 1.1× 115 0.8× 60 1.8× 33 1.1× 65 2.8× 61 657

Countries citing papers authored by Muthukumar Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Muthukumar Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muthukumar Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Muthukumar Subramanian. A scholar is included among the top collaborators of Muthukumar Subramanian 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 Muthukumar Subramanian. Muthukumar Subramanian 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.
Parnes, McKenna F., et al.. (2025). Teaching about climate change in US classrooms. Theory Into Practice. 64(2). 235–248.
2.
Kaushik, Priyanka, et al.. (2022). Effective Cyber Security Using IoT to Prevent E-Threats and Hacking During Covid-19. International Journal of Electrical and Electronics Research. 10(2). 111–116. 38 indexed citations
3.
Subramanian, Muthukumar, et al.. (2022). Quality Risk Management Approach for Drug Development and Its Future Prospectives. Journal for Research in Applied Sciences and Biotechnology. 1(3). 166–177. 17 indexed citations
4.
Sharma, Dilip Kumar, et al.. (2021). Classification of COVID-19 by using supervised optimized machine learning technique. Materials Today Proceedings. 56. 2058–2062. 14 indexed citations
5.
Subramanian, Muthukumar, et al.. (2021). E marketing strategy in health care using IoT and Machine Learning. Materials Today Proceedings. 56. 2087–2091. 9 indexed citations
6.
Subramanian, Muthukumar, et al.. (2017). Rapid Proteomics to Prospect and Validate Novel Bacterial Metabolism Induced by Environmental Burden. Methods in enzymology on CD-ROM/Methods in enzymology. 586. 379–411. 1 indexed citations
7.
Subramanian, Muthukumar, et al.. (2016). Air Ions Variation at Different Sites in Pudukkottai. 2(8). 1 indexed citations
8.
Dinesh, S., et al.. (2015). Corrosion prevention in concrete and strength characteristics in admixture concrete. 10(2). 1 indexed citations
9.
Subramanian, Muthukumar, et al.. (2013). Economic Analysis of Metabolic Diseases in Bovines: A Review. 64–71. 1 indexed citations
10.
Summers, Ryan M., et al.. (2013). Caffeine Junkie: an Unprecedented Glutathione S-Transferase-Dependent Oxygenase Required for Caffeine Degradation by Pseudomonas putida CBB5. Journal of Bacteriology. 195(17). 3933–3939. 31 indexed citations
11.
Reid, T., et al.. (2005). A Simon 2 stage study of 5,10 methylenetetrahydrofolic acid (CO) with 5-fluorouracil (FU) as first line treatment in metastatic colorectal cancer (mCRC). Journal of Clinical Oncology. 23(16_suppl). 3692–3692. 2 indexed citations
12.
Subramanian, Muthukumar, et al.. (1997). Revisiting auxin transport inhibition as a mode of action for herbicides. Weed Science. 45(5). 621–627. 6 indexed citations
13.
Subramanian, Muthukumar, et al.. (1997). Engineering dicamba selectivity in crops: a search for appropriate degradative enzyme(s). Journal of Industrial Microbiology & Biotechnology. 19(5-6). 344–349. 12 indexed citations
14.
Niderman, Thierry, et al.. (1997). Adenylosuccinate Synthetase from Maize (Purification, Properties, and Mechanism of Inhibition by 5[prime]-Phosphohydantocidin). PLANT PHYSIOLOGY. 114(2). 549–555. 15 indexed citations
15.
Siehl, Daniel L., et al.. (1996). Adenylosuccinate Synthetase: Site of Action of Hydantocidin, a Microbial Phytotoxin. PLANT PHYSIOLOGY. 110(3). 753–758. 59 indexed citations
16.
17.
Bernasconi, Paul, et al.. (1996). The N-1-Naphthylphthalamic Acid-Binding Protein Is an Integral Membrane Protein. PLANT PHYSIOLOGY. 111(2). 427–432. 46 indexed citations
18.
Bernasconi, Paul, et al.. (1994). Functional Expression of Arabidopsis thaliana Anthranilate Synthase Subunit I in Escherichia coli. PLANT PHYSIOLOGY. 106(1). 353–358. 19 indexed citations
19.
Muday, Gloria K., et al.. (1993). Evidence for a Single Naphthylphthalamic Acid Binding Site on the Zucchini Plasma Membrane. PLANT PHYSIOLOGY. 103(2). 449–456. 32 indexed citations
20.
Subramanian, Muthukumar, et al.. (1978). Rapid purification of mitochondrial proteases: use of affinity chromatography.. PubMed. 15(3). 214–8. 1 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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