Ronesh Sharma

955 total citations
17 papers, 378 citations indexed

About

Ronesh Sharma is a scholar working on Molecular Biology, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, Ronesh Sharma has authored 17 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Computer Networks and Communications and 2 papers in Cognitive Neuroscience. Recurrent topics in Ronesh Sharma's work include Machine Learning in Bioinformatics (10 papers), RNA and protein synthesis mechanisms (9 papers) and Protein Structure and Dynamics (8 papers). Ronesh Sharma is often cited by papers focused on Machine Learning in Bioinformatics (10 papers), RNA and protein synthesis mechanisms (9 papers) and Protein Structure and Dynamics (8 papers). Ronesh Sharma collaborates with scholars based in Fiji, Japan and Australia. Ronesh Sharma's co-authors include Alok Sharma, Tatsuhiko Tsunoda, Ashwini Patil, Shiu Kumar, Abdollah Dehzangi, Kuldip K. Paliwal, James Lyons, Thirumananseri Kumarevel, Edwin Vans and Abdul Sattar and has published in prestigious journals such as Bioinformatics, Analytical Biochemistry and Gene.

In The Last Decade

Ronesh Sharma

17 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ronesh Sharma Fiji 13 261 60 38 31 27 17 378
Yijie Pan China 7 211 0.8× 107 1.8× 15 0.4× 39 1.3× 13 0.5× 19 487
Nicolas Férey France 10 135 0.5× 23 0.4× 8 0.2× 13 0.4× 26 1.0× 30 280
Alex Tek France 8 291 1.1× 10 0.2× 11 0.3× 9 0.3× 66 2.4× 10 519
Jinyoung Park South Korea 9 96 0.4× 89 1.5× 10 0.3× 15 0.5× 6 0.2× 34 382
Siddharth Jain United States 9 142 0.5× 12 0.2× 30 0.8× 26 0.8× 3 0.1× 35 375
Gerd Gruenert Germany 10 186 0.7× 19 0.3× 36 0.9× 42 1.4× 13 0.5× 12 307
Hamideh Ramezani Türkiye 11 185 0.7× 24 0.4× 172 4.5× 149 4.8× 9 0.3× 19 442
Trias Thireou Greece 12 195 0.7× 6 0.1× 12 0.3× 122 3.9× 12 0.4× 38 447
Yuchen Li China 8 34 0.1× 134 2.2× 47 1.2× 68 2.2× 2 0.1× 27 276

Countries citing papers authored by Ronesh Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Ronesh Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronesh Sharma

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

All Works

17 of 17 papers shown
1.
Sharma, Alok, et al.. (2022). CNN-Pred: Prediction of single-stranded and double-stranded DNA-binding protein using convolutional neural networks. Gene. 853. 147045–147045. 13 indexed citations
2.
Kumar, Shiu, Ronesh Sharma, Tatsuhiko Tsunoda, Thirumananseri Kumarevel, & Alok Sharma. (2021). Forecasting the spread of COVID-19 using LSTM network. BMC Bioinformatics. 22(S6). 316–316. 18 indexed citations
3.
Kumar, Shiu, Ronesh Sharma, & Alok Sharma. (2021). OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals. PeerJ Computer Science. 7. e375–e375. 32 indexed citations
4.
Sharma, Ronesh, Shiu Kumar, Tatsuhiko Tsunoda, Thirumananseri Kumarevel, & Alok Sharma. (2020). Single-stranded and double-stranded DNA-binding protein prediction using HMM profiles. Analytical Biochemistry. 612. 113954–113954. 13 indexed citations
5.
Sharma, Alok, Artem Lysenko, Yosvany López, et al.. (2019). HseSUMO: Sumoylation site prediction using half-sphere exposures of amino acids residues. BMC Genomics. 19(S9). 982–982. 14 indexed citations
6.
Sharma, Ronesh, Alok Sharma, Ashwini Patil, & Tatsuhiko Tsunoda. (2019). Discovering MoRFs by trisecting intrinsically disordered protein sequence into terminals and middle regions. BMC Bioinformatics. 19(S13). 378–378. 16 indexed citations
7.
Sharma, Ronesh, et al.. (2018). OPAL+: Length‐Specific MoRF Prediction in Intrinsically Disordered Protein Sequences. PROTEOMICS. 19(6). e1800058–e1800058. 33 indexed citations
8.
Sharma, Ronesh, et al.. (2018). OPAL: prediction of MoRF regions in intrinsically disordered protein sequences. Bioinformatics. 34(11). 1850–1858. 52 indexed citations
9.
Sharma, Ronesh, et al.. (2017). MoRFPred-plus: Computational Identification of MoRFs in Protein Sequences using Physicochemical Properties and HMM profiles. Journal of Theoretical Biology. 437. 9–16. 41 indexed citations
10.
Sharma, Ronesh, Shiu Kumar, Tatsuhiko Tsunoda, Ashwini Patil, & Alok Sharma. (2016). Predicting MoRFs in protein sequences using HMM profiles. BMC Bioinformatics. 17(S19). 504–504. 27 indexed citations
11.
Kumar, Shiu, Ronesh Sharma, & Edwin Vans. (2016). Localization for Wireless Sensor Networks: A Neural Network Approach. International journal of Computer Networks & Communications. 8(1). 61–71. 16 indexed citations
12.
Kumar, Shiu, Ronesh Sharma, Alok Sharma, & Tatsuhiko Tsunoda. (2016). Decimation filter with Common Spatial Pattern and Fishers Discriminant Analysis for motor imagery classification. 2090–2095. 27 indexed citations
13.
Sharma, Alok, Ronesh Sharma, Abdollah Dehzangi, et al.. (2015). Importance of dimensionality reduction in protein fold recognition. Griffith Research Online (Griffith University, Queensland, Australia). 6. 1–6. 1 indexed citations
14.
Sharma, Ronesh, Abdollah Dehzangi, James Lyons, et al.. (2015). Predict Gram-Positive and Gram-Negative Subcellular Localization via Incorporating Evolutionary Information and Physicochemical Features Into Chou's General PseAAC. IEEE Transactions on NanoBioscience. 14(8). 915–926. 69 indexed citations
15.
Sharma, Ronesh & Seong Ro Lee. (2013). A Novel Container ISO Code Localization Using an Object Clustering Method with Opencv and Visual Studio Application. International Journal of Image Graphics and Signal Processing. 5(7). 54–63. 1 indexed citations
16.
Sharma, Ronesh, et al.. (2013). Auto location and security alert embedded with container identification for real time applications. 7. 365–370. 3 indexed citations
17.
Sharma, Ronesh & Seong Ro Lee. (2013). Smart Ship Container With M2M Technology. The Journal of Korean Institute of Communications and Information Sciences. 38C(3). 278–287. 2 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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