Anjali Arora

1.3k total citations · 1 hit paper
20 papers, 870 citations indexed

About

Anjali Arora is a scholar working on Molecular Biology, Infectious Diseases and Surgery. According to data from OpenAlex, Anjali Arora has authored 20 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Surgery. Recurrent topics in Anjali Arora's work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Tuberculosis Research and Epidemiology (2 papers) and Workplace Spirituality and Leadership (2 papers). Anjali Arora is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Tuberculosis Research and Epidemiology (2 papers) and Workplace Spirituality and Leadership (2 papers). Anjali Arora collaborates with scholars based in India, Italy and United Kingdom. Anjali Arora's co-authors include Kumaravel Somasundaram, Arimappamagan Arivazhagan, Vani Santosh, Anupama Hegde, Vikas Patil, Abhirami Visvanathan, Edward J. Gracely, Jack M. Becker, Mark Joffe and Helen Sheldon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Scientific Reports.

In The Last Decade

Anjali Arora

20 papers receiving 855 citations

Hit Papers

Essential role of METTL3-mediated m6A modification in gli... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anjali Arora India 12 609 367 90 87 67 20 870
Feng Xiao China 12 255 0.4× 139 0.4× 24 0.3× 45 0.5× 24 0.4× 43 535
Bahman Sadeghi Iran 9 281 0.5× 209 0.6× 11 0.1× 79 0.9× 20 0.3× 32 696
Payal D. Shah United States 20 288 0.5× 190 0.5× 19 0.2× 190 2.2× 32 0.5× 72 1.0k
Qun Hu China 11 278 0.5× 148 0.4× 9 0.1× 65 0.7× 64 1.0× 78 628
Agata Filip Poland 17 319 0.5× 175 0.5× 6 0.1× 101 1.2× 107 1.6× 67 751
Yunsong Li China 15 561 0.9× 148 0.4× 12 0.1× 145 1.7× 11 0.2× 50 905
Eun Yong Choi United States 14 311 0.5× 104 0.3× 14 0.2× 92 1.1× 18 0.3× 30 562
Jialin Luo China 13 227 0.4× 148 0.4× 13 0.1× 103 1.2× 9 0.1× 30 534
Barbara Brouwers Belgium 15 165 0.3× 185 0.5× 32 0.4× 96 1.1× 18 0.3× 32 718
Andreea C. Popescu Romania 16 689 1.1× 173 0.5× 5 0.1× 62 0.7× 30 0.4× 40 1.2k

Countries citing papers authored by Anjali Arora

Since Specialization
Citations

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

Fields of papers citing papers by Anjali Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anjali Arora

This figure shows the co-authorship network connecting the top 25 collaborators of Anjali Arora. A scholar is included among the top collaborators of Anjali 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 Anjali Arora. Anjali Arora 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.
Jayathilake, Pahala Gedara, Dimitrios Voukantsis, Ana Miar, et al.. (2024). Metabolic symbiosis between oxygenated and hypoxic tumour cells: An agent-based modelling study. PLoS Computational Biology. 20(3). e1011944–e1011944. 6 indexed citations
2.
Sheldon, Helen, et al.. (2022). Single cell RNA‐sequencing: A powerful yet still challenging technology to study cellular heterogeneity. BioEssays. 44(11). e2200084–e2200084. 33 indexed citations
3.
Arora, Anjali & Geeta Arora. (2021). Business of Uncertainties: An Afflict of COVID-19 on Indian Insurance. 2 indexed citations
4.
Sawhney, J.P.S., Raman Puri, Anjali Arora, et al.. (2020). Genetic analysis of familial hypercholesterolemia in Asian Indians: A single-center study. Journal of clinical lipidology. 14(1). 35–45. 14 indexed citations
5.
Arora, Anjali, et al.. (2020). Human resource development and spiritual intelligence: an investigation amongst management students in Delhi NCR. International Journal of Innovation and Learning. 29(1). 45–45. 4 indexed citations
6.
Arora, Anjali, et al.. (2020). COVID 19 knowledge assessment: A step towards protecting health care workers. 1(1). 16–16. 1 indexed citations
7.
Arora, Anjali, Vikas Patil, Paturu Kondaiah, et al.. (2019). Serum biomarkers identification by iTRAQ and verification by MRM: S100A8/S100A9 levels predict tumor-stroma involvement and prognosis in Glioblastoma. Scientific Reports. 9(1). 2749–2749. 37 indexed citations
8.
Arora, Anjali & Kumaravel Somasundaram. (2019). Targeted Proteomics Comes to the Benchside and the Bedside: Is it Ready for Us?. BioEssays. 41(2). e1800042–e1800042. 17 indexed citations
9.
Arora, Anjali & Kumaravel Somasundaram. (2019). Glioblastoma vs temozolomide: can the red queen race be won?. Cancer Biology & Therapy. 20(8). 1083–1090. 82 indexed citations
10.
Visvanathan, Abhirami, Vikas Patil, Anjali Arora, et al.. (2017). Essential role of METTL3-mediated m6A modification in glioma stem-like cells maintenance and radioresistance. Oncogene. 37(4). 522–533. 489 indexed citations breakdown →
11.
Arora, Anjali, et al.. (2017). Drug abuse: Uncovering the burden in rural Punjab. SHILAP Revista de lepidopterología. 6(3). 558–558. 32 indexed citations
12.
Nawaz, Zahid, Anjali Arora, Alangar S. Hegde, et al.. (2016). Cbx7 is epigenetically silenced in glioblastoma and inhibits cell migration by targeting YAP/TAZ-dependent transcription. Scientific Reports. 6(1). 27753–27753. 30 indexed citations
13.
Singh, Harinder, et al.. (2016). Adverse Reactions Due to Directly Observed Treatment Short Course Therapy: An Indian Prospective Study. 7 indexed citations
14.
Saxena, Renu, et al.. (2016). Spectrum of mutations in homozygous familial hypercholesterolemia in India, with four novel mutations. Atherosclerosis. 255. 31–36. 19 indexed citations
15.
Arora, Anjali, et al.. (2015). Indirect costs in the treatment of Tuberculosis under DOTS. 1 indexed citations
16.
Pathania, Deepak, et al.. (2014). An epidemiological study of metabolic syndrome in a rural area of Ambala district, Haryana. Journal of Family and Community Medicine. 21(2). 130–130. 12 indexed citations
17.
Pathania, Deepak, et al.. (2013). A Study to Assess Prevalence of Metabolic Syndrome and its Socio Demographic Risk Factors in Rural Area of District Ambala, Haryana. Journal of Community Medicine & Health Education. 3(5). 11 indexed citations
18.
Arora, Anjali, et al.. (2013). Indian mythological principles for management of present day organisations: some observations. International Journal of Business and Emerging Markets. 6(1). 19–19. 1 indexed citations
19.
Becker, Jack M., Anjali Arora, Richard J. Scarfone, et al.. (1999). Oral versus intravenous corticosteroids in children hospitalized with asthma. Journal of Allergy and Clinical Immunology. 103(4). 586–590. 65 indexed citations
20.
Ruddy, Michael, et al.. (1993). Blood Pressure Variability and Urinary Electrolyte Excretion in Normotensive Adults. American Journal of Hypertension. 6(6_Pt_1). 480–486. 7 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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