Neelima Arora

424 total citations
31 papers, 283 citations indexed

About

Neelima Arora is a scholar working on Molecular Biology, Computational Theory and Mathematics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Neelima Arora has authored 31 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Neelima Arora's work include Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (4 papers) and Mosquito-borne diseases and control (4 papers). Neelima Arora is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (4 papers) and Mosquito-borne diseases and control (4 papers). Neelima Arora collaborates with scholars based in India. Neelima Arora's co-authors include Amit Kumar Banerjee, Upadhyayula Suryanarayana Murty, U. S. N. Murty, Utpal Bhadra, Manika Pal‐Bhadra, P.N. Sarma, M. Lakshmi Narasu, Amarendranath Choudhury, Jagmeet Kaur and Arun Kumar R and has published in prestigious journals such as BioMed Research International, Current Topics in Medicinal Chemistry and Medicinal Chemistry Research.

In The Last Decade

Neelima Arora

25 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neelima Arora India	10	133	33	30	27	26	31	283
Sultan Alasmari Saudi Arabia	11	126 0.9×	24 0.7×	43 1.4×	26 1.0×	19 0.7×	41	371
Pushkala Jayaraman United States	10	154 1.2×	14 0.4×	11 0.4×	16 0.6×	21 0.8×	22	322
Pascal Notin United Kingdom	5	390 2.9×	45 1.4×	60 2.0×	9 0.3×	49 1.9×	7	603
Yen-Wei Chu Taiwan	10	387 2.9×	14 0.4×	23 0.8×	8 0.3×	43 1.7×	41	525
Seema Mishra India	11	185 1.4×	14 0.4×	47 1.6×	18 0.7×	67 2.6×	29	316
Eric Jain Switzerland	4	312 2.3×	13 0.4×	12 0.4×	9 0.3×	12 0.5×	6	416
Ankita Singh India	10	250 1.9×	11 0.3×	14 0.5×	13 0.5×	37 1.4×	23	338
Liangxiao Ma China	12	290 2.2×	7 0.2×	22 0.7×	9 0.3×	31 1.2×	25	414
Xiao Hong Zhao China	13	214 1.6×	15 0.5×	15 0.5×	49 1.8×	74 2.8×	43	628
Cheng-Yan Kao Taiwan	11	254 1.9×	8 0.2×	18 0.6×	8 0.3×	22 0.8×	14	382

Countries citing papers authored by Neelima Arora

Since Specialization

Citations

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

Fields of papers citing papers by Neelima Arora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neelima Arora

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

All Works

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20 of 20 papers shown

Arora, Neelima, et al.. (2024). Molecular docking analysis of shatavarins with female hormonal receptors. Bioinformation. 20(7). 775–780. 2 indexed citations

Arora, Neelima, et al.. (2019). Screening of chilli (Capsicum annuum L.) genotypes for morhpological characteristics showing resistance against Fusarium wilt. Journal of Pharmacognosy and Phytochemistry. 8(5). 68–72. 1 indexed citations

Arora, Neelima, et al.. (2019). INTRACRANIAL DERMOID CYST: A CASE REPORT. International Journal of Medical and Biomedical Studies. 3(7). 1 indexed citations

Banerjee, Amit Kumar & Neelima Arora. (2018). Neurology in the Light of Genomics: Application of NGS and GWAS in Understanding Complex Neurological Disorders. Neuropsychiatry. 8(3). 1 indexed citations

Choudhury, Amarendranath, et al.. (2018). Neurochemicals, Behaviours and Psychiatric Perspectives of Neurological Diseases. Neuropsychiatry. 8(1). 24 indexed citations

Bhadra, Utpal, et al.. (2015). Computational approach for elucidating interactions of cross-species miRNAs and their targets in Flaviviruses. Journal of Vector Borne Diseases. 52(1). 11–11. 9 indexed citations

Arora, Neelima, et al.. (2013). Evidences of leaf surface structure against cucumber mosaic virus resistance in watermelon. Plant Disease Research. 28(1). 84–91.

Arora, Neelima, et al.. (2013). Biochemical characteristics imparting resistance against Alternaria blight in cauliflower genotypes. Agricultural science digest. 33(2). 92–97. 3 indexed citations

Banerjee, Amit Kumar, et al.. (2012). Analyzing a potential drug target N-myristoyltransferase of Plasmodium falciparum through in silico approaches. Journal of Global Infectious Diseases. 4(1). 43–43. 9 indexed citations

10.

Arora, Neelima & Amit Kumar Banerjee. (2010). Emerging Trends, Challenges and Prospects in Healthcare in India. Electronic journal of biology. 6(2). 2 indexed citations

11.

Arora, Neelima, Amit Kumar Banerjee, & U. S. N. Murty. (2010). Homology model of 2C-methyl-d-erythritol 2, 4-cyclodiphosphate (MECP) synthase of Plasmodiumfalciparum 3D7. Electronic journal of biology. 6(2). 1 indexed citations

12.

Arora, Neelima, Amit Kumar Banerjee, & Upadhyayula Suryanarayana Murty. (2010). In silico characterization of Shikimate Kinase of Shigella flexneri: A potential drug target. Interdisciplinary Sciences Computational Life Sciences. 2(3). 280–290. 8 indexed citations

13.

Arora, Neelima, et al.. (2009). Comparative characterization of commercially important xylanase enzymes. Bioinformation. 3(10). 446–453. 17 indexed citations

14.

Murty, Upadhyayula Suryanarayana, Amit Kumar Banerjee, & Neelima Arora. (2009). Application of Kohonen maps for solving the classification puzzle in AGC kinase protein sequences. Interdisciplinary Sciences Computational Life Sciences. 1(3). 173–178. 9 indexed citations

15.

Banerjee, Amit Kumar, Neelima Arora, & U. S. N. Murty. (2009). Structural model of the Plasmodium falciparum thioredoxin reductase:a novel target for antimalarial drugs.. PubMed. 46(3). 171–83. 18 indexed citations

16.

Arora, Neelima, et al.. (2009). Interaction Map and Selection of microRNA Targets in Parkinson′s Disease‐Related Genes. BioMed Research International. 2009(1). 363145–363145. 25 indexed citations

17.

Murty, Upadhyayula Suryanarayana, Amit Kumar Banerjee, & Neelima Arora. (2009). An In Silico Approach to Cluster CAM Kinase Protein Sequences. Journal of Proteomics & Bioinformatics. 2(2). 97–107. 13 indexed citations

18.

Banerjee, Amit Kumar, Neelima Arora, & U. S. N. Murty. (2008). Classification and Regression Tree (CART) Analysis forDeriving Variable Importance of Parameters InfluencingAverage Flexibility of CaMK Kinase Family. Electronic journal of biology. 4(1). 15 indexed citations

19.

Banerjee, Amit Kumar, et al.. (2007). How Far is ITS2 Reliable as a Phylogenetic Marker for the Mosquito genera. Electronic journal of biology. 3(3). 117009–117009. 6 indexed citations

20.

Kaur, Jagmeet, et al.. (2002). Kinetin Like Role of TDZ (Thidiazuron) - in Salinity Amelioration in Wheat (Triticum Aestivum). Journal of research. 39(1). 82–84. 8 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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