Alok Sharma

8.6k total citations · 1 hit paper
197 papers, 5.7k citations indexed

About

Alok Sharma is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alok Sharma has authored 197 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 25 papers in Artificial Intelligence and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alok Sharma's work include Machine Learning in Bioinformatics (69 papers), RNA and protein synthesis mechanisms (42 papers) and Protein Structure and Dynamics (32 papers). Alok Sharma is often cited by papers focused on Machine Learning in Bioinformatics (69 papers), RNA and protein synthesis mechanisms (42 papers) and Protein Structure and Dynamics (32 papers). Alok Sharma collaborates with scholars based in Australia, Fiji and Japan. Alok Sharma's co-authors include Kuldip K. Paliwal, Abdollah Dehzangi, Tatsuhiko Tsunoda, K.K. Paliwal, James Lyons, Abdul Sattar, Shiu Kumar, Rhys Heffernan, Keith A. Boroevich and Satoru Miyano and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Alok Sharma

190 papers receiving 5.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Advances in AI and machine learning for predictive medicine

2024 64 citations Alok Sharma, Artem Lysenko et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alok Sharma Australia	44	3.3k	669	564	500	468	197	5.7k
Doheon Lee South Korea	38	4.1k 1.2×	873 1.3×	147 0.3×	925 1.9×	404 0.9×	229	6.9k
Alejandro Pazos Spain	30	1.0k 0.3×	688 1.0×	1.1k 1.9×	686 1.4×	334 0.7×	180	3.7k
Olli Yli‐Harja Finland	37	2.7k 0.8×	430 0.6×	209 0.4×	297 0.6×	531 1.1×	230	4.9k
Yanda Li China	38	2.3k 0.7×	524 0.8×	180 0.3×	223 0.4×	220 0.5×	280	5.6k
Chee Keong Kwoh Singapore	37	2.3k 0.7×	930 1.4×	458 0.8×	1.2k 2.4×	380 0.8×	182	5.2k
Min Wu China	48	3.6k 1.1×	1.9k 2.8×	615 1.1×	1.6k 3.1×	861 1.8×	450	9.7k
Francisco Azuaje United Kingdom	33	2.5k 0.8×	1.0k 1.5×	363 0.6×	491 1.0×	349 0.7×	146	5.6k
Asa Ben‐Hur United States	37	3.4k 1.0×	1.7k 2.5×	193 0.3×	573 1.1×	878 1.9×	79	7.0k
Ziv Bar‐Joseph United States	46	6.8k 2.0×	654 1.0×	153 0.3×	463 0.9×	408 0.9×	160	10.1k
Concha Bielza Spain	32	789 0.2×	1.8k 2.6×	370 0.7×	405 0.8×	405 0.9×	180	4.4k

Countries citing papers authored by Alok Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Alok Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alok Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Alok Sharma. A scholar is included among the top collaborators of Alok 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 Alok Sharma. Alok Sharma 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

Singh, Siddharth, et al.. (2025). Silibinin: a natural flavonoid with multifaceted anticancer potential and therapeutic challenges. Medicinal Chemistry Research. 34(10). 2115–2136. 2 indexed citations

Sharma, Alok, et al.. (2025). Enigma of AMP-activated protein kinase subunit expression in glioma. SHILAP Revista de lepidopterología. 2(3). 1 indexed citations

Jaryal, Ajay, Sanjay Vikrant, & Alok Sharma. (2024). Hypothyroidism Related Kidney Disease - A Report of Two Cases. Indian Journal of Nephrology. 35(4). 574–575.

Ahmed, Faisal, Alok Sharma, Swakkhar Shatabda, & Abdollah Dehzangi. (2024). DeepPhoPred : Accurate Deep Learning Model to Predict Microbial Phosphorylation. Proteins Structure Function and Bioinformatics. 93(2). 465–481. 1 indexed citations

Sharma, Alok, Artem Lysenko, Keith A. Boroevich, & Tatsuhiko Tsunoda. (2023). DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omics. Scientific Reports. 13(1). 2483–2483. 21 indexed citations

Lysenko, Artem, et al.. (2023). scDeepInsight: a supervised cell-type identification method for scRNA-seq data with deep learning. Briefings in Bioinformatics. 24(5). 24 indexed citations

Sharma, Alok, et al.. (2022). Automatic Detection of Rice Diseases using Deep Convolutional Neural Networks with SGD and ADAM. 103. 1256–1260. 5 indexed citations

Vans, Edwin, Ashwini Patil, & Alok Sharma. (2020). FEATS: feature selection-based clustering of single-cell RNA-seq data. Briefings in Bioinformatics. 22(4). 17 indexed citations

Dehzangi, Abdollah, et al.. (2020). Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features. Genes. 11(9). 1023–1023. 23 indexed citations

10.

Chandra, Abel, Alok Sharma, Abdollah Dehzangi, Daichi Shigemizu, & Tatsuhiko Tsunoda. (2019). Bigram-PGK: phosphoglycerylation prediction using the technique of bigram probabilities of position specific scoring matrix. BMC Molecular and Cell Biology. 20(S2). 57–57. 15 indexed citations

11.

Chandra, Abel, Alok Sharma, Abdollah Dehzangi, & Tatsuhiko Tsunoda. (2019). EvolStruct-Phogly: incorporating structural properties and evolutionary information from profile bigrams for the phosphoglycerylation prediction. BMC Genomics. 19(S9). 984–984. 16 indexed citations

12.

Sharma, Alok, et al.. (2018). EvoStruct-Sub: An accurate Gram-positive protein subcellular localization predictor using evolutionary and structural features. Journal of Theoretical Biology. 443. 138–146. 28 indexed citations

13.

Rashid, Mahmood A., et al.. (2017). HMMBinder: DNA-Binding Protein Prediction Using HMM Profile Based Features. BioMed Research International. 2017. 1–10. 41 indexed citations

14.

Sharma, Alok, Yosvany López, & Tatsuhiko Tsunoda. (2017). Divisive hierarchical maximum likelihood clustering. BMC Bioinformatics. 18(S16). 546–546. 13 indexed citations

15.

Sharma, Alok, et al.. (2014). Current issues in Authentication and Quality control of Natural Products. 4(5). 57–64. 6 indexed citations

16.

Sharma, Alok, Kuldip K. Paliwal, Abdollah Dehzangi, et al.. (2013). A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition. BMC Bioinformatics. 14(1). 233–233. 43 indexed citations

17.

Aseri, Gajender Kumar, B. Sinha, Deepak Agarwal, et al.. (2012). New and improved method of bamboo cultivation in semi arid areas of Indian Thar desert. AFRICAN JOURNAL OF BIOTECHNOLOGY. 11(84). 15002–15011. 3 indexed citations

18.

Sharma, Alok, et al.. (2011). CHEMICAL CONSTITUENTS AND BIO ACTIVITIES OF GENUS SAPINDUS. International Journal of Research in Ayurveda and Pharmacy. 2(2). 403–409. 11 indexed citations

19.

Sharma, Alok, et al.. (2007). Analgesic and Anti-inflammatory Activity of Carissa carandas Linn fruits and Microstylis wallichii Lindl Tubers. Natural Product Sciences. 13(1). 6–10. 6 indexed citations

20.

Westra, Seth & Alok Sharma. (2004). An exploratory study of seasonal rainfall variability in Australia using independent component analysis. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 2004. 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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