Subhalaxmi Nambi

1.6k total citations
24 papers, 791 citations indexed

About

Subhalaxmi Nambi is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Subhalaxmi Nambi has authored 24 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 7 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Subhalaxmi Nambi's work include Tuberculosis Research and Epidemiology (9 papers), Smart Grid Energy Management (6 papers) and Mycobacterium research and diagnosis (5 papers). Subhalaxmi Nambi is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), Smart Grid Energy Management (6 papers) and Mycobacterium research and diagnosis (5 papers). Subhalaxmi Nambi collaborates with scholars based in Netherlands, India and United States. Subhalaxmi Nambi's co-authors include Ramjee Prasad, Sandhya S. Visweswariah, Christopher M. Sassetti, Chayan Sarkar, Abdur Rahim, Nirmalya Basu, Kenan C. Murphy, Jarukit E. Long, Samantha J. Nelson and Scott A. Shaffer and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and IEEE Access.

In The Last Decade

Subhalaxmi Nambi

24 papers receiving 780 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subhalaxmi Nambi Netherlands 15 346 264 213 119 94 24 791
Christian Frank Switzerland 20 610 1.8× 47 0.2× 107 0.5× 236 2.0× 67 0.7× 37 1.3k
Yi Xie China 24 452 1.3× 37 0.1× 58 0.3× 159 1.3× 112 1.2× 64 1.5k
Laurence Yang United States 26 1.4k 4.0× 80 0.3× 61 0.3× 81 0.7× 42 0.4× 68 1.9k
Xing Xie China 16 250 0.7× 47 0.2× 91 0.4× 35 0.3× 41 0.4× 70 967
T. Disz United States 10 376 1.1× 184 0.7× 31 0.1× 287 2.4× 17 0.2× 19 887
Hyunseung Yoo United States 13 284 0.8× 38 0.1× 51 0.2× 106 0.9× 117 1.2× 24 763
Xiaoying Lei China 16 203 0.6× 123 0.5× 117 0.5× 74 0.6× 69 0.7× 60 714
Sourav Mukherjee United States 17 393 1.1× 120 0.5× 76 0.4× 36 0.3× 24 0.3× 69 959
Arif Khan Saudi Arabia 19 239 0.7× 52 0.2× 43 0.2× 59 0.5× 18 0.2× 62 891
Kuan‐Rong Lee Taiwan 13 155 0.4× 87 0.3× 30 0.1× 98 0.8× 71 0.8× 27 550

Countries citing papers authored by Subhalaxmi Nambi

Since Specialization
Citations

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

Fields of papers citing papers by Subhalaxmi Nambi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhalaxmi Nambi

This figure shows the co-authorship network connecting the top 25 collaborators of Subhalaxmi Nambi. A scholar is included among the top collaborators of Subhalaxmi Nambi 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 Subhalaxmi Nambi. Subhalaxmi Nambi 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.
Nambi, Subhalaxmi, et al.. (2025). EMO-TS: An Enhanced Multi-Objective Optimization Algorithm for Energy-Efficient Task Scheduling in Cloud Data Centers. IEEE Access. 13. 8187–8200. 3 indexed citations
2.
Nelson, Samantha J., John T. Williams, John A. Buglino, et al.. (2023). The Rip1 intramembrane protease contributes to iron and zinc homeostasis in Mycobacterium tuberculosis. mSphere. 8(4). e0038922–e0038922. 3 indexed citations
3.
Samanta, Sintu Kumar, et al.. (2019). A universal stress protein in Mycobacterium smegmatis sequesters the cAMP-regulated lysine acyltransferase and is essential for biofilm formation. Journal of Biological Chemistry. 295(6). 1500–1516. 13 indexed citations
4.
Murphy, Kenan C., Samantha J. Nelson, Subhalaxmi Nambi, et al.. (2018). ORBIT: a New Paradigm for Genetic Engineering of Mycobacterial Chromosomes. mBio. 9(6). 89 indexed citations
5.
Baek, Seung-Hun, Inna V. Krieger, Samantha J. Nelson, et al.. (2018). A Lysine Acetyltransferase Contributes to the Metabolic Adaptation to Hypoxia in Mycobacterium tuberculosis. Cell chemical biology. 25(12). 1495–1505.e3. 33 indexed citations
6.
Nambi, Subhalaxmi, et al.. (2017). CoachMe: Activity Recognition using Wearable Devices for Human Augmentation. 174–179. 3 indexed citations
7.
Patel, Sarju J., Brianne E. Lewis, Jarukit E. Long, et al.. (2016). Fine-tuning of Substrate Affinity Leads to Alternative Roles of Mycobacterium tuberculosis Fe2+-ATPases. Journal of Biological Chemistry. 291(22). 11529–11539. 37 indexed citations
8.
Sarkar, Chayan, Subhalaxmi Nambi, & Ramjee Prasad. (2016). iLTC: Achieving Individual Comfort in Shared Spaces. 65–76. 18 indexed citations
9.
Nambi, Subhalaxmi, Evangelos Pournaras, & Ramjee Prasad. (2016). Temporal Self-Regulation of Energy Demand. IEEE Transactions on Industrial Informatics. 12(3). 1196–1205. 15 indexed citations
10.
Nambi, Subhalaxmi & Ramjee Prasad. (2016). Toward the Development of a Techno-Social Smart Grid. IEEE Communications Magazine. 54(11). 202–209. 13 indexed citations
11.
Nambi, Subhalaxmi, Jarukit E. Long, Bibhuti B. Mishra, et al.. (2015). The Oxidative Stress Network of Mycobacterium tuberculosis Reveals Coordination between Radical Detoxification Systems. Cell Host & Microbe. 17(6). 829–837. 125 indexed citations
12.
Nambi, Subhalaxmi, Chayan Sarkar, Ramjee Prasad, & Abdur Rahim. (2014). A unified semantic knowledge base for IoT. 51. 575–580. 48 indexed citations
13.
Podobnik, Marjetka, et al.. (2014). Allostery and Conformational Dynamics in cAMP-binding Acyltransferases. Journal of Biological Chemistry. 289(23). 16588–16600. 14 indexed citations
14.
Nambi, Subhalaxmi, Matteo Vasirani, Ramjee Prasad, & Karl Aberer. (2014). Performance analysis of data processing architectures for the Smart Grid. IEEE PES Innovative Smart Grid Technologies Europe. 1–6. 3 indexed citations
15.
Nambi, Subhalaxmi, et al.. (2013). Sustainable energy consumption monitoring in residential settings. 57. 1–6. 6 indexed citations
16.
Nambi, Subhalaxmi, et al.. (2013). Cyclic AMP-dependent Protein Lysine Acylation in Mycobacteria Regulates Fatty Acid and Propionate Metabolism. Journal of Biological Chemistry. 288(20). 14114–14124. 87 indexed citations
17.
Nambi, Subhalaxmi, et al.. (2013). Sustainable energy consumption monitoring in residential settings. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 57. 3177–3182. 15 indexed citations
18.
Nambi, Subhalaxmi, et al.. (2012). Cyclic AMP-induced Conformational Changes in Mycobacterial Protein Acetyltransferases. Journal of Biological Chemistry. 287(22). 18115–18129. 22 indexed citations
19.
Nambi, Subhalaxmi, et al.. (2012). Bond Graph Modeling for Energy-Harvesting Wireless Sensor Networks. Computer. 45(9). 31–38. 15 indexed citations
20.
Nambi, Subhalaxmi, Nirmalya Basu, & Sandhya S. Visweswariah. (2010). cAMP-regulated Protein Lysine Acetylases in Mycobacteria. Journal of Biological Chemistry. 285(32). 24313–24323. 91 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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