Neha Maurya

1.2k total citations
32 papers, 959 citations indexed

About

Neha Maurya is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Neha Maurya has authored 32 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Organic Chemistry and 7 papers in Oncology. Recurrent topics in Neha Maurya's work include Protein Interaction Studies and Fluorescence Analysis (15 papers), Surfactants and Colloidal Systems (9 papers) and Drug Transport and Resistance Mechanisms (5 papers). Neha Maurya is often cited by papers focused on Protein Interaction Studies and Fluorescence Analysis (15 papers), Surfactants and Colloidal Systems (9 papers) and Drug Transport and Resistance Mechanisms (5 papers). Neha Maurya collaborates with scholars based in India, Sweden and Saudi Arabia. Neha Maurya's co-authors include Rajan Patel, Jitendra Kumar Maurya, Neeraj Dohare, Muzaffar Ul Hassan Mir, Meena Kumari, Mehraj ud din Parray, Abbul Bashar Khan, Ravins Dohare, Ashutosh Mani and Upendra Kumar Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and RSC Advances.

In The Last Decade

Neha Maurya

29 papers receiving 951 citations

Peers

Countries citing papers authored by Neha Maurya

Since Specialization

Citations

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

Fields of papers citing papers by Neha Maurya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Maurya

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Optimization of physico-chemical parameters for synergistic production of xylano-cellulolytic enzymes by novel Pantoea sp. (PQ584882) under solid-state fermentation using statistical design approach 2025 ·Enzyme and Microbial Technology ·Neha Maurya, Harsh Sable, (unknown), Amit Kumar, (unknown)	0
2	An in vitro and in silico antidiabetic approach of GC–MS detected friedelin of Bridelia retusa 2024 ·Journal of King Saud University - Science ·(unknown), (unknown), (unknown), Neha Maurya, Ashutosh Mani, Chandramohan Govindasamy, (unknown)	2
3	Prognostic model development for classification of colorectal adenocarcinoma by using machine learning model based on feature selection technique boruta 2023 ·Scientific Reports ·Neha Maurya, (unknown), Sandeep Kushwaha, Aakash Chawade, Ashutosh Mani	28
4	Unlocking the Potential of the CA2, CA7, and ITM2C Gene Signatures for the Early Detection of Colorectal Cancer: A Comprehensive Analysis of RNA-Seq Data by Utilizing Machine Learning Algorithms 2023 ·Genes ·Neha Maurya, Sandeep Kushwaha, Ramesh R. Vetukuri, Ashutosh Mani	5
5	Herbal Therapeutics for Alzheimer's Disease: Ancient Indian MedicineSystem from the Modern Viewpoint 2023 ·Current Neuropharmacology ·(unknown), Neha Maurya, Sandeep Kushwaha, Luciana Scotti, Aakash Chawade, Ashutosh Mani	17
6	Screening of potential antiplasmodial agents targeting cysteine protease-Falcipain 2: a computational pipeline 2022 ·Journal of Biomolecular Structure and Dynamics ·(unknown), (unknown), (unknown), Monika Kumari, (unknown), Neha Maurya, Anil Verma, Ashutosh Mani, Kristan A. Schneider, Praveen K. Bharti	3
7	Identification of Potential Antimalarial Drug Candidates Targeting Falcipain-2 Protein of Malaria Parasite—A Computational Strategy 2022 ·BioTech ·(unknown), (unknown), Ashutosh Mani, Neha Maurya, Archana Tiwari, Praveen K. Bharti	7
8	Transcriptome profiling by combined machine learning and statistical R analysis identifies TMEM236 as a potential novel diagnostic biomarker for colorectal cancer 2021 ·Scientific Reports ·Neha Maurya, Sandeep Kushwaha, Aakash Chawade, Ashutosh Mani	34
9	Comparative in vitro cytotoxicity and binding investigation of artemisinin and its biogenetic precursors with ctDNA 2020 ·RSC Advances ·Neha Maurya, Khalid Imtiyaz, M. Moshahid A. Rizvi, Khaled Mohamed Khedher, Prashant Singh, Rajan Patel	21
10	Machine learning method using position-specific mutation based classification outperforms one hot coding for disease severity prediction in haemophilia ‘A’ 2020 ·Genomics ·(unknown), Neha Maurya, Ashutosh Mani, Rama Shankar Yadav	36
11	Insights from RNA-Seq analysis of Alzheimer's data suggest upregulation of GPCRs 2020 ·Gene Reports ·Amit Chaudhary, (unknown), Neha Maurya, Ashutosh Mani	2
12	Coumarin tethered cyclic imides as efficacious glucose uptake agents and investigation of hit candidate to probe its binding mechanism with human serum albumin 2019 ·Bioorganic Chemistry ·Dinesh S. Reddy, Manasa Kongot, Vishal Singh, Neha Maurya, Rajan Patel, Nitin Kumar Singhal, Fernando Avecilla, Amit Kumar	28
13	Ionic Liquid Green Assembly-Mediated Migration of Piperine from Calf-Thymus DNA: A New Possibility of the Tunable Drug Delivery System 2019 ·ACS Omega ·Neha Maurya, Zahoor Ahmad Parray, Jitendra Kumar Maurya, Asimul Islam, Rajan Patel	14
14	Recent Advances and Computational Approaches in Peptide Drug Discovery 2019 ·Current Pharmaceutical Design ·Neha Maurya, Sandeep Kushwaha, Ashutosh Mani	7
15	Interaction of promethazine and adiphenine to human hemoglobin: A comparative spectroscopic and computational analysis 2018 ·Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ·Neha Maurya, Mehraj ud din Parray, Jitendra Kumar Maurya, Amit Kumar, Rajan Patel	55
16	Comparative effect of cationic gemini surfactant and its monomeric counterpart on the conformational stability of phospholipase A2 2018 ·Journal of Molecular Structure ·Mehraj ud din Parray, Neha Maurya, Farooq Ahmad Wani, Mahendra S. Borse, (unknown), Maqsood Ahmad Malik, Rajan Patel	26
17	Impact of dielectric pocket on analog/RF performance of short channel double gate MOSFET 2017 ·Abhinav Gupta, Neha Maurya, Sanjeev Rai	5
18	Effect of 1-methyl-3-octyleimmidazolium chloride on the stability and activity of lysozyme: a spectroscopic and molecular dynamics studies 2016 ·Journal of Biomolecular Structure and Dynamics ·Meena Kumari, Neeraj Dohare, Neha Maurya, Ravins Dohare, Rajan Patel	67
19	Hydrogen bonding-assisted interaction between amitriptyline hydrochloride and hemoglobin: spectroscopic and molecular dynamics studies 2016 ·Journal of Biomolecular Structure and Dynamics ·Neha Maurya, Jitendra Kumar Maurya, Meena Kumari, Abbul Bashar Khan, Ravins Dohare, Rajan Patel	39
20	Molecular investigation of the interaction between ionic liquid type gemini surfactant and lysozyme: A spectroscopic and computational approach 2015 ·Biopolymers ·Jitendra Kumar Maurya, Muzaffar Ul Hassan Mir, Upendra Kumar Singh, Neha Maurya, Neeraj Dohare, Seema Patel, Anwar Ali, Rajan Patel	73

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.

Explore authors with similar magnitude of impact