Nagendra Chemuturi

617 total citations · 1 hit paper
13 papers, 417 citations indexed

About

Nagendra Chemuturi is a scholar working on Oncology, Pharmaceutical Science and Molecular Biology. According to data from OpenAlex, Nagendra Chemuturi has authored 13 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Pharmaceutical Science and 3 papers in Molecular Biology. Recurrent topics in Nagendra Chemuturi's work include Drug Transport and Resistance Mechanisms (4 papers), Advanced Drug Delivery Systems (4 papers) and Biosimilars and Bioanalytical Methods (2 papers). Nagendra Chemuturi is often cited by papers focused on Drug Transport and Resistance Mechanisms (4 papers), Advanced Drug Delivery Systems (4 papers) and Biosimilars and Bioanalytical Methods (2 papers). Nagendra Chemuturi collaborates with scholars based in United States, Switzerland and Germany. Nagendra Chemuturi's co-authors include Maureen D. Donovan, Shufang Liu, Priyanka Kulkarni, Dhaval K. Shah, Patrick Hayden, James E. Chastain, Markus Walles, Jaime A. Yáñez, Michael A. Curtis and Martha E. Gadd and has published in prestigious journals such as Advanced Drug Delivery Reviews, Life Sciences and Journal of Pharmaceutical Sciences.

In The Last Decade

Nagendra Chemuturi

13 papers receiving 399 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.

Nanoparticle biodistribution coefficients: A quantitative approach for understanding the tissue distribution of nanoparticles

2023 128 citations Priyanka Kulkarni, Shufang Liu et al. Advanced Drug Delivery Reviews profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nagendra Chemuturi United States	11	129	117	69	60	58	13	417
Toshihiko Tashima Japan	15	253 2.0×	81 0.7×	55 0.8×	46 0.8×	95 1.6×	26	546
Haiying Hua China	13	238 1.8×	84 0.7×	35 0.5×	74 1.2×	104 1.8×	44	574
Arto Urtti Finland	6	97 0.8×	51 0.4×	56 0.8×	24 0.4×	25 0.4×	11	348
Shinji Shimizu Japan	13	196 1.5×	77 0.7×	86 1.2×	51 0.8×	36 0.6×	19	527
Hovhannes J. Gukasyan United States	17	268 2.1×	45 0.4×	122 1.8×	39 0.7×	75 1.3×	42	759
David Paul India	14	233 1.8×	92 0.8×	30 0.4×	25 0.4×	24 0.4×	31	506
Xiaobo Wang China	13	200 1.6×	94 0.8×	123 1.8×	99 1.6×	18 0.3×	42	534
Zichao Yang China	15	285 2.2×	116 1.0×	19 0.3×	21 0.3×	17 0.3×	45	639
Vincent H.L. Lee United States	16	210 1.6×	140 1.2×	76 1.1×	30 0.5×	72 1.2×	27	743
Sujay Shah United States	7	171 1.3×	39 0.3×	13 0.2×	45 0.8×	57 1.0×	11	311

Countries citing papers authored by Nagendra Chemuturi

Since Specialization

Citations

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

Fields of papers citing papers by Nagendra Chemuturi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nagendra Chemuturi

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

All Works

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13 of 13 papers shown

Pruimboom‐Brees, Ingrid, Swati Gupta, Nagendra Chemuturi, et al.. (2023). International consortium for innovation and quality: An industry perspective on the nonclinical and early clinical development of intravitreal drugs. Clinical and Translational Science. 16(5). 723–741. 6 indexed citations

Kulkarni, Priyanka, et al.. (2023). Nanoparticle biodistribution coefficients: A quantitative approach for understanding the tissue distribution of nanoparticles. Advanced Drug Delivery Reviews. 194. 114708–114708. 128 indexed citations breakdown →

Mody, Hardik, K. OGASAWARA, Xu Zhu, et al.. (2023). Best Practices and Considerations for Clinical Pharmacology and Pharmacometric Aspects for Optimal Development of CAR‐T and TCR‐T Cell Therapies: An Industry Perspective. Clinical Pharmacology & Therapeutics. 114(3). 530–557. 18 indexed citations

Chemuturi, Nagendra, et al.. (2022). The Perspective of DMPK on Recombinant Adeno-Associated Virus-Based Gene Therapy: Past Learning, Current Support, and Future Contribution. The AAPS Journal. 24(1). 31–31. 17 indexed citations

Leach, Michael W., David O. Clarke, Sherri Dudal, et al.. (2020). Strategies and Recommendations for Using a Data‐Driven and Risk‐Based Approach in the Selection of First‐in‐Human Starting Dose: An International Consortium for Innovation and Quality in Pharmaceutical Development (IQ) Assessment. Clinical Pharmacology & Therapeutics. 109(6). 1395–1416. 17 indexed citations

Chemuturi, Nagendra, Mark Milton, Gian Camenisch, et al.. (2018). Models and Approaches Describing the Metabolism, Transport, and Toxicity of Drugs Administered by the Ocular Route. Drug Metabolism and Disposition. 46(11). 1670–1683. 14 indexed citations

Kraynov, Eugenia, Ajith V. Kamath, Markus Walles, et al.. (2015). Current Approaches for Absorption, Distribution, Metabolism, and Excretion Characterization of Antibody-Drug Conjugates: An Industry White Paper. Drug Metabolism and Disposition. 44(5). 617–623. 70 indexed citations

Chastain, James E., Mark Sanders, Michael A. Curtis, et al.. (2015). Distribution of topical ocular nepafenac and its active metabolite amfenac to the posterior segment of the eye. Experimental Eye Research. 145. 58–67. 36 indexed citations

Chemuturi, Nagendra & Jaime A. Yáñez. (2013). The Role of Xenobiotic Transporters in Ophthalmic Drug Delivery. Journal of Pharmacy & Pharmaceutical Sciences. 16(5). 683–683. 12 indexed citations

10.

Chemuturi, Nagendra & Maureen D. Donovan. (2007). Role of Organic Cation Transporters in Dopamine Uptake across Olfactory and Nasal Respiratory Tissues. Molecular Pharmaceutics. 4(6). 936–942. 34 indexed citations

11.

Chemuturi, Nagendra, et al.. (2006). Role of dopamine transporter (DAT) in dopamine transport across the nasal mucosa. Life Sciences. 79(14). 1391–1398. 21 indexed citations

12.

Chemuturi, Nagendra & Maureen D. Donovan. (2006). Metabolism of Dopamine by the Nasal Mucosa. Journal of Pharmaceutical Sciences. 95(11). 2507–2515. 9 indexed citations

13.

Chemuturi, Nagendra, et al.. (2005). Comparison of Human Tracheal/Bronchial Epithelial Cell Culture and Bovine Nasal Respiratory Explants for Nasal Drug Transport Studies. Journal of Pharmaceutical Sciences. 94(9). 1976–1985. 35 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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