Abhinav Kumar

1.4k total citations
38 papers, 955 citations indexed

About

Abhinav Kumar is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Abhinav Kumar has authored 38 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Artificial Intelligence and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Abhinav Kumar's work include AI in cancer detection (8 papers), Machine Learning in Bioinformatics (7 papers) and Antimicrobial Peptides and Activities (7 papers). Abhinav Kumar is often cited by papers focused on AI in cancer detection (8 papers), Machine Learning in Bioinformatics (7 papers) and Antimicrobial Peptides and Activities (7 papers). Abhinav Kumar collaborates with scholars based in India, Russia and Iraq. Abhinav Kumar's co-authors include Sanjay Kumar Singh, Sonal Saxena, Sameer Shrivastava, Amit Kumar Singh, Rishav Singh, Ritesh Sharma, Vandana Bharti, Raj Kumar Singh, K. Lakshmanan and Raj Kumar Singh and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Abhinav Kumar

34 papers receiving 916 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhinav Kumar India 15 381 355 251 209 195 38 955
Shahid Akbar Pakistan 26 237 0.6× 1.2k 3.4× 120 0.5× 250 1.2× 89 0.5× 40 1.8k
Muhammad Kabir Pakistan 21 326 0.9× 947 2.7× 226 0.9× 105 0.5× 510 2.6× 37 1.8k
Salman Khan Pakistan 21 217 0.6× 566 1.6× 52 0.2× 91 0.4× 167 0.9× 56 1.1k
Muhammad Tahir Pakistan 21 202 0.5× 1.0k 2.9× 64 0.3× 93 0.4× 47 0.2× 46 1.5k
Zakir Ali China 12 315 0.8× 188 0.5× 217 0.9× 38 0.2× 507 2.6× 41 1.1k
Maqsood Hayat Pakistan 36 258 0.7× 3.0k 8.3× 80 0.3× 289 1.4× 77 0.4× 72 3.5k
Ruiquan Ge China 12 123 0.3× 163 0.5× 49 0.2× 38 0.2× 90 0.5× 56 452
Rajat K. De India 18 343 0.9× 590 1.7× 83 0.3× 12 0.1× 182 0.9× 90 1.3k
Xiucai Ye Japan 18 184 0.5× 801 2.3× 33 0.1× 124 0.6× 85 0.4× 101 1.2k
Fawaz Khaled Alarfaj Saudi Arabia 15 366 1.0× 174 0.5× 50 0.2× 38 0.2× 64 0.3× 55 822

Countries citing papers authored by Abhinav Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Abhinav Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinav Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Kumar. A scholar is included among the top collaborators of Abhinav Kumar 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 Abhinav Kumar. Abhinav Kumar 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.
Altalbawy, Farag M. A., Manoj Singh, Majid S. Jabir, et al.. (2025). Exosomal RNAs and EZH2: unraveling the molecular dialogue driving tumor progression. Medical Oncology. 42(4). 103–103. 1 indexed citations
2.
Alluhaidan, Ala Saleh, et al.. (2025). Comparative analysis of the DCNN and HFCNN Based Computerized detection of liver cancer. BMC Medical Imaging. 25(1). 37–37. 1 indexed citations
3.
Ahmad, Irfan, Abhinav Kumar, Athikkattuvalasu S. Karthikeyan, et al.. (2025). “Mesenchymal stem cell-derived exosomes (MSC-exosomes) in hematology: From mechanisms to clinical breakthroughs”. Cellular Immunology. 414. 104986–104986. 3 indexed citations
4.
Sharma, Anshul, et al.. (2025). ILAM: Cross-Fusion of Latent and Attention Features for Explainable Medical Image Classification. IEEE Journal of Biomedical and Health Informatics. PP. 1–11.
5.
Sharma, Tripti, et al.. (2024). A Review of Green Supplier Selection for Environmental Benchmarking. 17–33. 1 indexed citations
6.
Kumar, Abhinav, et al.. (2024). SLIDE-Net: A Sequential Modeling Approach With Adaptive Fuzzy C-Mean Empowered Data Balancing Policy for IDC Detection. IEEE Transactions on Fuzzy Systems. 32(10). 5557–5570. 5 indexed citations
7.
Kumar, Abhinav, et al.. (2024). Computational Biology in Drug Discovery and Repurposing. Apple Academic Press eBooks. 3 indexed citations
8.
Kumar, Abhinav, et al.. (2024). Revisiting neighbourhood proximity based algorithm for overlapping community detection in weighted networks. Social Network Analysis and Mining. 14(1). 1 indexed citations
9.
Bains, Rhythm, et al.. (2023). The Efficacy of Dental Caries Telediagnosis Using Smartphone: A Diagnostic Study in Geriatric Patients. Cureus. 15(1). e33256–e33256. 9 indexed citations
10.
Sharma, Ritesh, Sameer Shrivastava, Sanjay Kumar Singh, et al.. (2023). Artificial Intelligence-Based Model for Predicting the Minimum Inhibitory Concentration of Antibacterial Peptides Against ESKAPEE Pathogens. IEEE Journal of Biomedical and Health Informatics. 28(4). 1949–1958. 9 indexed citations
11.
Sharma, Ritesh, Sameer Shrivastava, Sanjay Kumar Singh, et al.. (2023). EnDL-HemoLyt: Ensemble Deep Learning-Based Tool for Identifying Therapeutic Peptides With Low Hemolytic Activity. IEEE Journal of Biomedical and Health Informatics. 28(4). 1896–1905. 10 indexed citations
12.
Kumar, Abhinav, Anshul Sharma, Amit Kumar Singh, Sanjay Kumar Singh, & Sonal Saxena. (2023). Data Augmentation for Medical Image Classification Based on Gaussian Laplacian Pyramid Blending With a Similarity Measure. IEEE Journal of Biomedical and Health Informatics. 29(6). 3886–3893. 5 indexed citations
13.
Kumar, Abhinav, Sanjay Kumar Singh, K. Lakshmanan, Sonal Saxena, & Sameer Shrivastava. (2021). A Novel Cloud-Assisted Secure Deep Feature Classification Framework for Cancer Histopathology Images. ACM Transactions on Internet Technology. 21(2). 1–22. 13 indexed citations
14.
Sharma, Ritesh, Sameer Shrivastava, Sanjay Kumar Singh, et al.. (2021). AniAMPpred: artificial intelligence guided discovery of novel antimicrobial peptides in animal kingdom. Briefings in Bioinformatics. 22(6). 53 indexed citations
15.
Sharma, Ritesh, Sameer Shrivastava, Sanjay Kumar Singh, et al.. (2021). Deep-ABPpred: identifying antibacterial peptides in protein sequences using bidirectional LSTM with word2vec. Briefings in Bioinformatics. 22(5). 88 indexed citations
16.
Sharma, Ritesh, Sameer Shrivastava, Sanjay Kumar Singh, et al.. (2021). Deep-AVPpred: Artificial Intelligence Driven Discovery of Peptide Drugs for Viral Infections. IEEE Journal of Biomedical and Health Informatics. 26(10). 5067–5074. 36 indexed citations
17.
Singh, Vishakha, Sameer Shrivastava, Sanjay Kumar Singh, Abhinav Kumar, & Sonal Saxena. (2021). StaBle-ABPpred: a stacked ensemble predictor based on biLSTM and attention mechanism for accelerated discovery of antibacterial peptides. Briefings in Bioinformatics. 23(1). 48 indexed citations
18.
19.
Kumar, Abhinav, et al.. (2019). Classification of leaves of medicinal plants using laws’ texture features. International Journal of Information Technology. 14(2). 931–942. 22 indexed citations
20.
Saxena, Sonal, Sameer Shrivastava, Ashok Kumar Mohanty, et al.. (2018). Gene expression profiling of spontaneously occurring canine mammary tumours: Insight into gene networks and pathways linked to cancer pathogenesis. PLoS ONE. 13(12). e0208656–e0208656. 19 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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