Neelam Sharma

1.8k total citations · 1 hit paper
26 papers, 1.0k citations indexed

About

Neelam Sharma is a scholar working on Molecular Biology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Neelam Sharma has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Neelam Sharma's work include vaccines and immunoinformatics approaches (10 papers), Computational Drug Discovery Methods (7 papers) and Machine Learning in Bioinformatics (5 papers). Neelam Sharma is often cited by papers focused on vaccines and immunoinformatics approaches (10 papers), Computational Drug Discovery Methods (7 papers) and Machine Learning in Bioinformatics (5 papers). Neelam Sharma collaborates with scholars based in India, Saudi Arabia and Italy. Neelam Sharma's co-authors include Gajendra P. S. Raghava, Sumeet Patiyal, Anjali Dhall, Leimarembi Devi Naorem, Piyush Agrawal, Shipra Jain, Chakit Arora, Akshara Pande, Salman Sadullah Usmani and Vinod Kumar and has published in prestigious journals such as IEEE Access, Carbohydrate Research and PROTEOMICS.

In The Last Decade

Neelam Sharma

23 papers receiving 991 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.

ToxinPred2: an improved method for predicting toxicity of proteins

2022 168 citations Neelam Sharma, Leimarembi Devi Naorem et al. Briefings in Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neelam Sharma India	12	778	181	161	137	118	26	1.0k
Gandharva Nagpal India	11	802 1.0×	115 0.6×	137 0.9×	147 1.1×	104 0.9×	15	890
Sumeet Patiyal India	17	713 0.9×	129 0.7×	108 0.7×	135 1.0×	81 0.7×	50	896
Alexis Lamiable France	8	660 0.8×	181 1.0×	100 0.6×	126 0.9×	56 0.5×	10	855
Salman Sadullah Usmani India	18	1.4k 1.8×	432 2.4×	202 1.3×	209 1.5×	159 1.3×	24	1.7k
Piyush Agrawal India	17	1.4k 1.8×	560 3.1×	106 0.7×	158 1.2×	207 1.8×	36	1.6k
Mohammad Reza Rahbar Iran	16	545 0.7×	105 0.6×	133 0.8×	148 1.1×	27 0.2×	44	776
Alexis Musacchio Cuba	19	423 0.5×	165 0.9×	153 1.0×	98 0.7×	32 0.3×	73	1.0k
Hifzur Rahman Ansari Saudi Arabia	14	815 1.0×	65 0.4×	290 1.8×	280 2.0×	45 0.4×	28	1.2k
Deepika Mathur India	13	999 1.3×	530 2.9×	47 0.3×	109 0.8×	137 1.2×	16	1.2k
Aarti Garg India	13	886 1.1×	89 0.5×	51 0.3×	51 0.4×	122 1.0×	27	1.1k

Countries citing papers authored by Neelam Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Neelam Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neelam Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Neelam Sharma. A scholar is included among the top collaborators of Neelam Sharma 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 Neelam Sharma. Neelam Sharma 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

Sharma, Neelam, et al.. (2024). A method for predicting linear and conformational B-cell epitopes in an antigen from its primary sequence. Computers in Biology and Medicine. 170. 108083–108083. 6 indexed citations

Choudhary, Amit, Savita Ahlawat, Shabana Urooj, et al.. (2023). A Deep Learning-Based Framework for Retinal Disease Classification. Healthcare. 11(2). 212–212. 41 indexed citations

Zubair, Swaleha, et al.. (2023). Design of ANN Based Non-Linear Network Using Interconnection of Parallel Processor. Computer Systems Science and Engineering. 46(3). 3491–3508. 3 indexed citations

Arora, Akanksha, et al.. (2023). A random forest model for predicting exosomal proteins using evolutionary information and motifs. PROTEOMICS. 24(6). e2300231–e2300231. 8 indexed citations

Naorem, Leimarembi Devi, Neelam Sharma, & Gajendra P. S. Raghava. (2023). A web server for predicting and scanning of IL-5 inducing peptides using alignment-free and alignment-based method. Computers in Biology and Medicine. 158. 106864–106864. 9 indexed citations

Dhall, Anjali, Sumeet Patiyal, Neelam Sharma, Salman Sadullah Usmani, & Gajendra P. S. Raghava. (2023). A Web-Based Method for the Identification of IL6-Based Immunotoxicity in Vaccine Candidates. Methods in molecular biology. 2673. 317–327. 4 indexed citations

Urooj, Shabana, et al.. (2023). Computational Analysis: Unveiling the Quantum Algorithms for Protein Analysis and Predictions. IEEE Access. 11. 94023–94033. 6 indexed citations

Dhall, Anjali, Shipra Jain, Neelam Sharma, et al.. (2022). In silico tools and databases for designing cancer immunotherapy. Advances in protein chemistry and structural biology. 129. 1–50.

Sharma, Neelam, Leimarembi Devi Naorem, Shipra Jain, & Gajendra P. S. Raghava. (2022). ToxinPred2: an improved method for predicting toxicity of proteins. Briefings in Bioinformatics. 23(5). 168 indexed citations breakdown →

10.

Pande, Akshara, Sumeet Patiyal, Chakit Arora, et al.. (2022). Pfeature: A Tool for Computing Wide Range of Protein Features and Building Prediction Models. Journal of Computational Biology. 30(2). 204–222. 47 indexed citations

11.

Sharma, Neelam, Sumeet Patiyal, Anjali Dhall, Leimarembi Devi Naorem, & Gajendra P. S. Raghava. (2021). ChAlPred: A web server for prediction of allergenicity of chemical compounds. Computers in Biology and Medicine. 136. 104746–104746. 29 indexed citations

12.

Kumar, Vinod, Sumeet Patiyal, Anjali Dhall, Neelam Sharma, & Gajendra P. S. Raghava. (2021). B3Pred: A Random-Forest-Based Method for Predicting and Designing Blood–Brain Barrier Penetrating Peptides. Pharmaceutics. 13(8). 1237–1237. 49 indexed citations

13.

Dhall, Anjali, Sumeet Patiyal, Neelam Sharma, Leimarembi Devi Naorem, & Gajendra P. S. Raghava. (2021). Computer-aided prediction of inhibitors against STAT3 for managing COVID-19 associated cytokine storm. Computers in Biology and Medicine. 137. 104780–104780. 11 indexed citations

14.

Mathur, Deepika, Harpreet Kaur, Anjali Dhall, Neelam Sharma, & Gajendra P. S. Raghava. (2021). SAPdb: A database of short peptides and the corresponding nanostructures formed by self-assembly. Computers in Biology and Medicine. 133. 104391–104391. 20 indexed citations

15.

Agrawal, Piyush, et al.. (2020). AntiCP 2.0: an updated model for predicting anticancer peptides. Briefings in Bioinformatics. 22(3). 210 indexed citations

16.

Sharma, Neelam, Sumeet Patiyal, Anjali Dhall, et al.. (2020). AlgPred 2.0: an improved method for predicting allergenic proteins and mapping of IgE epitopes. Briefings in Bioinformatics. 22(4). 211 indexed citations

17.

Patiyal, Sumeet, Dilraj Kaur, Harpreet Kaur, et al.. (2020). A Web-Based Platform on Coronavirus Disease-19 to Maintain Predicted Diagnostic, Drug, and Vaccine Candidates. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 39(6). 204–216. 22 indexed citations

18.

Agarwal, Pooja, et al.. (2013). Research Paper on Artificial Intelligence. Zenodo (CERN European Organization for Nuclear Research).

19.

Kaur, Inderjeet, et al.. (2010). A comparative study on the graft copolymerization of acrylic acid onto rayon fibre by a ceric ion redox system and a γ-radiation method. Carbohydrate Research. 345(15). 2164–2173. 36 indexed citations

20.

Sharma, Neelam, et al.. (2009). Plasmacytoma with amyloidosis masquerding as tuberculosis on cytology. Journal of Cytology. 26(4). 161–161. 4 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.

Explore authors with similar magnitude of impact