M. Hanumanthappa

1.1k total citations
98 papers, 706 citations indexed

About

M. Hanumanthappa is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, M. Hanumanthappa has authored 98 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 19 papers in Molecular Biology and 14 papers in Computer Networks and Communications. Recurrent topics in M. Hanumanthappa's work include Natural Language Processing Techniques (8 papers), Network Security and Intrusion Detection (7 papers) and Curcumin's Biomedical Applications (7 papers). M. Hanumanthappa is often cited by papers focused on Natural Language Processing Techniques (8 papers), Network Security and Intrusion Detection (7 papers) and Curcumin's Biomedical Applications (7 papers). M. Hanumanthappa collaborates with scholars based in India, Russia and United Kingdom. M. Hanumanthappa's co-authors include Manish Kumar, T. V. Suresh Kumar, B.K. Sarojini, V. Krishna, Rangaswamy Lakshminarayana, Umme Hani, V. P. Vaidya, K. M. Mahadevan, N. Satyanarayana and Vinay Kumar and has published in prestigious journals such as Journal of Food Science, European Journal of Medicinal Chemistry and Journal of Molecular Structure.

In The Last Decade

M. Hanumanthappa

90 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Hanumanthappa India 14 156 139 127 112 69 98 706
Devvret Verma India 15 102 0.7× 175 1.3× 63 0.5× 64 0.6× 106 1.5× 74 904
Fangyan Zhang China 17 100 0.6× 331 2.4× 66 0.5× 103 0.9× 48 0.7× 48 813
Jamal Raiyn Israel 12 48 0.3× 229 1.6× 51 0.4× 101 0.9× 68 1.0× 53 796
Shuichi Sakai Japan 20 105 0.7× 180 1.3× 139 1.1× 382 3.4× 23 0.3× 141 1.6k
Gabriel Núñez Chile 9 88 0.6× 115 0.8× 53 0.4× 117 1.0× 29 0.4× 40 563
Zhongyao Wang China 11 131 0.8× 79 0.6× 127 1.0× 190 1.7× 78 1.1× 33 815
Joachim Baumann Germany 14 98 0.6× 154 1.1× 97 0.8× 252 2.3× 74 1.1× 42 1.1k
Wei‐Jen Li Taiwan 11 97 0.6× 120 0.9× 47 0.4× 151 1.3× 56 0.8× 26 544
Tulika Chakrabarti India 18 261 1.7× 89 0.6× 22 0.2× 96 0.9× 44 0.6× 44 985
Meshari Alazmi Saudi Arabia 16 101 0.6× 185 1.3× 76 0.6× 65 0.6× 12 0.2× 57 638

Countries citing papers authored by M. Hanumanthappa

Since Specialization
Citations

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

Fields of papers citing papers by M. Hanumanthappa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Hanumanthappa

This figure shows the co-authorship network connecting the top 25 collaborators of M. Hanumanthappa. A scholar is included among the top collaborators of M. Hanumanthappa 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 M. Hanumanthappa. M. Hanumanthappa 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.
Hanumanthappa, M., et al.. (2022). Antihypertensive and Cardioprotective Property of Mimosa pudica Using Zebra Fish. Pharmacognosy Research. 14(3). 333–337. 1 indexed citations
2.
Grishina, Maria, Vladimir Potemkin, Julian Lee, et al.. (2022). A systems biology investigation of curcumin potency against TGF-β-induced EMT signaling in lung cancer. 3 Biotech. 12(11). 306–306. 8 indexed citations
3.
4.
Hanumanthappa, M., et al.. (2021). Translation of Six Tuple Grade-1 Braille Alphabet to English Alphabet. International Journal of Innovative Technology and Exploring Engineering. 10(9). 8–11.
5.
Rimac, Hrvoje, et al.. (2020). Computational insights into the binding mode of curcumin analogues against EP300 HAT domain as potent acetyltransferase inhibitors. Journal of Molecular Graphics and Modelling. 101. 107756–107756. 4 indexed citations
6.
Hanumanthappa, M., et al.. (2019). An Improved Attention Layer assisted Recurrent Convolutional Neural Network Model for Abstractive Text Summarization. Americanae (AECID Library). 2 indexed citations
7.
Hanumanthappa, M., et al.. (2019). Intelligent Predicting Learning Disabilities in School Going Children Using Fuzzy Logic K Mean Clustering in Machine Learning.. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 1694–1698. 5 indexed citations
8.
Hanumanthappa, M., et al.. (2018). Effect of hydrogel on growth, fresh yield and essential oil content of ginger (Zingiberofficinale Rosc.). Journal of Pharmacognosy and Phytochemistry. 7. 482–485. 3 indexed citations
9.
Hanumanthappa, M., et al.. (2017). Hepatoprotective Effect of Curcumin and Capsaicin against Lipopolysaccharide Induced Liver Damage in Mice. Pharmacognosy Journal. 9(6). 947–951. 13 indexed citations
10.
Kumar, Manish, M. Hanumanthappa, & T. V. Suresh Kumar. (2017). Crime investigation and criminal network analysis using archive call detail records. 46–50. 16 indexed citations
11.
Hanumanthappa, M., et al.. (2017). Determining the Degree of Knowledge Processing in Semantics through Probabilistic Measures. International Journal of Information Technology and Computer Science. 9(7). 35–41. 1 indexed citations
12.
Hani, Umme, et al.. (2017). Molecular docking analysis of curcumin analogues against kinase domain of ALK5. In Silico Pharmacology. 5(1). 15–15. 32 indexed citations
13.
Hanumanthappa, M., et al.. (2016). EVALUATION OF IN VITRO ANTI-INFLAMMATORY ACTIVITY OF STEM BARK EXTRACTS OF MESUA FERREA LINN.. International Journal of Pharmacy and Pharmaceutical Sciences. 8(2). 173–177. 5 indexed citations
14.
Hanumanthappa, M., et al.. (2014). A Study of Information Extraction Tools forOnline English Newspapers (PDF):Comparative Analysis. International Journal of Innovative Research in Computer and Communication Engineering. 2(10). 6112–6119. 1 indexed citations
15.
Sharath, R., et al.. (2014). Molecular docking and Evaluation of wound healing activity of stigmastatone isolated from bark of Celastrus paniculatusWilld.. Journal Of Biochemical Technology. 3(5). 134–137. 2 indexed citations
16.
Hanumanthappa, M., et al.. (2014). A New Signal Sequence for Recombinant Protein Secretion in Pichia pastoris. Journal of Microbiology and Biotechnology. 24(3). 337–345. 16 indexed citations
17.
Hanumanthappa, M., et al.. (2013). Wound healing activity of BrugmansiasuavelensBercht. &Presl. leaves methanol extract on Wistar albino rats. International Journal of Innovative Research in Science Engineering and Technology. 2013(12). 7918–7924. 1 indexed citations
18.
Swamy, M. N. S. & M. Hanumanthappa. (2013). Indian Language Text Representation and Categorization Using Supervised Learning Algorithm. 2(2). 40–44. 6 indexed citations
19.
Hanumanthappa, M., et al.. (2013). In vitro antioxidant and H+, K+-ATPase inhibition activities of Acalypha wilkesiana foliage extract. Journal of Pharmacy And Bioallied Sciences. 5(3). 214–214. 5 indexed citations
20.
Mahadevan, K. M., et al.. (2008). Antioxidant, cytotoxic and genotoxic evaluation of alcoholic extract of Polyalthia cerasoides (Roxb.) Bedd.. Environmental Toxicology and Pharmacology. 26(2). 142–146. 40 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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