Hemanth Noothalapati

1.3k total citations · 1 hit paper
39 papers, 865 citations indexed

About

Hemanth Noothalapati is a scholar working on Biophysics, Analytical Chemistry and Molecular Biology. According to data from OpenAlex, Hemanth Noothalapati has authored 39 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biophysics, 11 papers in Analytical Chemistry and 10 papers in Molecular Biology. Recurrent topics in Hemanth Noothalapati's work include Spectroscopy Techniques in Biomedical and Chemical Research (15 papers), Spectroscopy and Chemometric Analyses (11 papers) and Food composition and properties (4 papers). Hemanth Noothalapati is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (15 papers), Spectroscopy and Chemometric Analyses (11 papers) and Food composition and properties (4 papers). Hemanth Noothalapati collaborates with scholars based in Japan, India and Taiwan. Hemanth Noothalapati's co-authors include Shinsuke Shigeto, Tatsuyuki Yamamoto, Keita Iwasaki, Hi‐Deok Lee, Michal Otyepka, Sunil Babu Eadi, Kolleboyina Jayaramulu, Nirmal Mazumder, Tomoya Yamamoto and Rima Biswas and has published in prestigious journals such as Chemical Society Reviews, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Hemanth Noothalapati

37 papers receiving 853 citations

Hit Papers

Porous materials as effective chemiresistive gas sensors 2024 2026 2025 2024 40 80 120

Peers

Hemanth Noothalapati
Hemanth Noothalapati
Citations per year, relative to Hemanth Noothalapati Hemanth Noothalapati (= 1×) peers Andrea Mario Giovannozzi

Countries citing papers authored by Hemanth Noothalapati

Since Specialization
Citations

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

Fields of papers citing papers by Hemanth Noothalapati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hemanth Noothalapati

This figure shows the co-authorship network connecting the top 25 collaborators of Hemanth Noothalapati. A scholar is included among the top collaborators of Hemanth Noothalapati 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 Hemanth Noothalapati. Hemanth Noothalapati 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.
Noothalapati, Hemanth, et al.. (2025). Nanoarchitectured heteroatom-doped graphene as an adsorbent for dyes and heavy metals: Historical account, recent advancement and future prospects. Inorganic Chemistry Communications. 180. 114879–114879. 2 indexed citations
2.
Pooja, N, et al.. (2025). Direct estimation of amylose and amylopectin in single starch granules by machine learning assisted Raman spectroscopy. Carbohydrate Polymers. 366. 123929–123929. 1 indexed citations
3.
Pooja, N, et al.. (2025). Assessment of biocompatibility for citric acid crosslinked starch elastomeric films in cell culture applications. Scientific Reports. 15(1). 6427–6427. 1 indexed citations
4.
Rao, S. Venugopal, et al.. (2025). Raman spectroscopy in the detection and diagnosis of lung cancer: a meta-analysis. Lasers in Medical Science. 40(1). 164–164. 1 indexed citations
5.
Gunathilake, Thennakoon M. Sampath Udeni, et al.. (2024). Chitosan/Gelatin/Nanocellulose-Based System for Ophthalmic Drug Delivery. BioNanoScience. 15(1). 2 indexed citations
6.
Poornachandran, Prabaharan, et al.. (2024). Artificial Intelligence-Assisted Stimulated Raman Histology: New Frontiers in Vibrational Tissue Imaging. Cancers. 16(23). 3917–3917. 2 indexed citations
7.
Gunathilake, Thennakoon M. Sampath Udeni, et al.. (2024). Carboxymethyl cellulose hydrogel for pH-responsive drug release of curcumin. Iranian Polymer Journal. 33(10). 1449–1467. 5 indexed citations
8.
Iwasaki, Keita, Arti Hole, C. Murali Krishna, et al.. (2024). Discernable machine learning methods for Raman micro‐spectroscopic stratification of mitoxantrone‐induced drug‐resistant cells in acute myeloid leukemia. Journal of Raman Spectroscopy. 55(8). 882–890. 3 indexed citations
9.
Patwardhan, Raghavendra S., et al.. (2024). Distinct spectral signatures unfold ECM stiffness-triggered biochemical changes in breast cancer cells. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 311. 123994–123994. 3 indexed citations
11.
Nagato, Edward G., Hemanth Noothalapati, Md Sarwar Hossain, et al.. (2023). Differences in microplastic degradation in the atmosphere and coastal water environment from two island nations: Japan and New Zealand. Environmental Pollution. 333. 122011–122011. 19 indexed citations
12.
Panneerselvam, Rajapandiyan, et al.. (2022). Microfluidics and surface-enhanced Raman spectroscopy, a win–win combination?. Lab on a Chip. 22(4). 665–682. 88 indexed citations
13.
Iwasaki, Keita, Asuka Araki, C. Murali Krishna, et al.. (2021). Identification of Molecular Basis for Objective Discrimination of Breast Cancer Cells (MCF-7) from Normal Human Mammary Epithelial Cells by Raman Microspectroscopy and Multivariate Curve Resolution Analysis. International Journal of Molecular Sciences. 22(2). 800–800. 21 indexed citations
14.
Bar‐Yosef, Dana Laor, Shira Shaham‐Niv, Dor Zaguri, et al.. (2019). Fibril formation and therapeutic targeting of amyloid-like structures in a yeast model of adenine accumulation. Nature Communications. 10(1). 62–62. 43 indexed citations
15.
Iwasaki, Keita, et al.. (2019). Visualizing wax ester fermentation in single Euglena gracilis cells by Raman microspectroscopy and multivariate curve resolution analysis. Biotechnology for Biofuels. 12(1). 128–128. 15 indexed citations
16.
Noothalapati, Hemanth, Keita Iwasaki, Tomohiro Kaino, et al.. (2018). Studying anti-oxidative properties of inclusion complexes of α-lipoic acid with γ-cyclodextrin in single living fission yeast by confocal Raman microspectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 197. 237–243. 10 indexed citations
17.
Noothalapati, Hemanth, et al.. (2017). Imaging phospholipid conformational disorder and packing in giant multilamellar liposome by confocal Raman microspectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 187. 186–190. 25 indexed citations
18.
Noothalapati, Hemanth, Keita Iwasaki, & Tatsuyuki Yamamoto. (2017). Biological and Medical Applications of Multivariate Curve Resolution Assisted Raman Spectroscopy. Analytical Sciences. 33(1). 15–22. 34 indexed citations
19.
Noothalapati, Hemanth, Tomohiro Kaino, Makoto Kawamukai, et al.. (2016). Label-free Chemical Imaging of Fungal Spore Walls by Raman Microscopy and Multivariate Curve Resolution Analysis. Scientific Reports. 6(1). 27789–27789. 76 indexed citations
20.
Noothalapati, Hemanth & Shinsuke Shigeto. (2012). Stable Isotope-Labeled Raman Imaging Reveals Dynamic Proteome Localization to Lipid Droplets in Single Fission Yeast Cells. Chemistry & Biology. 19(11). 1373–1380. 61 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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