Rachna Agarwal

925 total citations
52 papers, 651 citations indexed

About

Rachna Agarwal is a scholar working on Physiology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Rachna Agarwal has authored 52 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Physiology, 12 papers in Psychiatry and Mental health and 7 papers in Molecular Biology. Recurrent topics in Rachna Agarwal's work include Alzheimer's disease research and treatments (16 papers), Clinical Laboratory Practices and Quality Control (8 papers) and Dementia and Cognitive Impairment Research (6 papers). Rachna Agarwal is often cited by papers focused on Alzheimer's disease research and treatments (16 papers), Clinical Laboratory Practices and Quality Control (8 papers) and Dementia and Cognitive Impairment Research (6 papers). Rachna Agarwal collaborates with scholars based in India, Germany and Switzerland. Rachna Agarwal's co-authors include Suman Kushwaha, Chandra Bhushan Tripathi, Puneet Talwar, Ritushree Kukreti, Neelam Chhillar, Sandeep Grover, Sneh Anand, P Marimuthu, G. Jayaraman and Pramod Kumar Rout and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and BMC Genomics.

In The Last Decade

Rachna Agarwal

46 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachna Agarwal India 14 300 154 86 66 63 52 651
Fabian Eichelmann Germany 18 369 1.2× 307 2.0× 55 0.6× 163 2.5× 24 0.4× 33 1.2k
Susan E. Spruill United States 14 234 0.8× 141 0.9× 41 0.5× 73 1.1× 294 4.7× 27 835
Jaana Leiviskä Finland 18 183 0.6× 302 2.0× 24 0.3× 63 1.0× 54 0.9× 30 999
P Nischan Germany 12 75 0.3× 130 0.8× 66 0.8× 51 0.8× 33 0.5× 29 1.1k
Fehime Benli Aksungar Türkiye 16 391 1.3× 83 0.5× 18 0.2× 59 0.9× 16 0.3× 45 875
Qian Gao China 16 190 0.6× 164 1.1× 39 0.5× 66 1.0× 48 0.8× 72 986
Diana L. Santos Ferreira United Kingdom 16 106 0.4× 143 0.9× 42 0.5× 40 0.6× 56 0.9× 32 735
Carla Dullemeijer Netherlands 16 415 1.4× 113 0.7× 75 0.9× 696 10.5× 72 1.1× 21 1.4k
Mehmet Ramazan Şekeroğlu Türkiye 17 96 0.3× 97 0.6× 67 0.8× 79 1.2× 21 0.3× 49 629

Countries citing papers authored by Rachna Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Rachna Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachna Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Rachna Agarwal. A scholar is included among the top collaborators of Rachna Agarwal 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 Rachna Agarwal. Rachna Agarwal 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.
Marwaha, Steven, et al.. (2025). Unlocking the Vitamin Puzzle: Investigating Levels in People With Alzheimer's Disease Versus Healthy Controls Through Systematic Review and Network Meta‐Analysis. Journal of Human Nutrition and Dietetics. 38(1). e70007–e70007. 2 indexed citations
2.
Sharma, Ramesh, et al.. (2025). Network meta-analysis of migraine therapies: balancing efficacy and safety. Brain Research. 1867. 149946–149946.
5.
6.
Talwar, Puneet, et al.. (2017). Multifactorial Analysis of a Biomarker Pool for Alzheimer Disease Risk in a North Indian Population. Dementia and Geriatric Cognitive Disorders. 44(1-2). 25–34. 21 indexed citations
7.
Kushwaha, Suman, Puneet Talwar, Meena Gupta, et al.. (2017). Clinical Spectrum, Risk Factors, and Behavioral Abnormalities among Dementia Subtypes in a North Indian Population: A Hospital-Based Study. Dementia and Geriatric Cognitive Disorders Extra. 7(2). 257–273. 11 indexed citations
8.
Baghel, Ruchi, Sandeep Grover, Harpreet Kaur, et al.. (2016). Evaluating the Role of Genetic Variants on first‐line antiepileptic drug response in North India: Significance ofSCN1AandGABRA1Gene Variants in Phenytoin Monotherapy and its Serum Drug Levels. CNS Neuroscience & Therapeutics. 22(9). 740–757. 9 indexed citations
9.
Talwar, Puneet, Sandeep Grover, Chitra Rawat, et al.. (2015). Dissecting Complex and Multifactorial Nature of Alzheimer’s Disease Pathogenesis: a Clinical, Genomic, and Systems Biology Perspective. Molecular Neurobiology. 53(7). 4833–4864. 55 indexed citations
10.
Agarwal, Rachna, et al.. (2014). TESTING PRACTICAL APPLICATION OF CAPM: A STUDY OF STOCKS OF AUTOMOBILE SECTOR USING CNX AUTO INDEX IN NSE. International Journal of Advanced Research in Management and Social Sciences. 3(1). 42–55. 1 indexed citations
11.
Agarwal, Rachna. (2014). Quality-Improvement Measures as Effective Ways of Preventing Laboratory Errors. Laboratory Medicine. 45(2). e80–e88. 23 indexed citations
12.
Talwar, Puneet, Yumnam Silla, Sandeep Grover, et al.. (2014). Genomic convergence and network analysis approach to identify candidate genes in Alzheimer's disease. BMC Genomics. 15(1). 199–199. 78 indexed citations
13.
Agarwal, Rachna, Neelam Chhillar, & Chandra Bhushan Tripathi. (2013). Study of Variables Affecting Critical Value Notification in a Laboratory Catering to Tertiary Care Hospital. Indian Journal of Clinical Biochemistry. 30(1). 89–93. 12 indexed citations
14.
Agarwal, Rachna, et al.. (2012). Role of Intervention on Laboratory Performance: Evaluation of Quality Indicators in a Tertiary Care Hospital. Indian Journal of Clinical Biochemistry. 27(1). 61–68. 23 indexed citations
15.
Gupta, Bindiya, Rachna Agarwal, & Gita Radhakrishnan. (2011). Spontaneous perforation by pyometra - an acute emergency : case report. South African Medical Journal. 17(1). 14–15. 3 indexed citations
16.
Agarwal, Rachna & Chandra Bhushan Tripathi. (2011). Diagnostic Utility of CSF Tau and Aβ42 in Dementia: A Meta‐Analysis. International Journal of Alzheimer s Disease. 2011(1). 503293–503293. 13 indexed citations
17.
Agarwal, Rachna, et al.. (2009). Leptin: A biomolecule for enhancing livestock productivity. Indian Journal of Biotechnology. 8(2). 169–176. 28 indexed citations
18.
Agarwal, Rachna, et al.. (2009). Use of Nanofilters for the Control of Polution from the Industrial Chimneys. TechConnect Briefs. 1(2009). 257–261.
19.
Singh, Sandeep K., et al.. (2009). Characterization of Exon 2 and Intron 2 of Leptin Gene in Indian Goats. Animal Biotechnology. 20(2). 80–85. 11 indexed citations
20.
Agarwal, Rachna, G. Jayaraman, Sneh Anand, & P Marimuthu. (2006). Assessing Respiratory Morbidity Through Pollution Status and Meteorological Conditions for Delhi. Environmental Monitoring and Assessment. 114(1-3). 489–504. 57 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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