Anjali Verma

4.5k total citations
67 papers, 3.6k citations indexed

About

Anjali Verma is a scholar working on Materials Chemistry, Molecular Biology and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Anjali Verma has authored 67 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 17 papers in Molecular Biology and 15 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Anjali Verma's work include Magnetic Properties and Synthesis of Ferrites (14 papers), Electromagnetic wave absorption materials (13 papers) and Estrogen and related hormone effects (9 papers). Anjali Verma is often cited by papers focused on Magnetic Properties and Synthesis of Ferrites (14 papers), Electromagnetic wave absorption materials (13 papers) and Estrogen and related hormone effects (9 papers). Anjali Verma collaborates with scholars based in India, United States and Israel. Anjali Verma's co-authors include T. C. Goel, D. C. Dube, R. G. Mendiratta, Ratnamala Chatterjee, Shantanu Chowdhury, Subhash C. Kashyap, Pran Kishan, Marc S. Lamphier, Cherilyn M. Sirois and Eicke Latz and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Blood.

In The Last Decade

Anjali Verma

67 papers receiving 3.5k citations

Peers

Anjali Verma
Fei Yang China
Jiying Zhang China
Guangjin Li United Kingdom
Sen Liu China
Zhuo Liu China
Jie Song China
Yang Xiang China
Maria Caterina Turco Italy
Youwei Wang China
Tingting Jia China
Fei Yang China
Anjali Verma
Citations per year, relative to Anjali Verma Anjali Verma (= 1×) peers Fei Yang

Countries citing papers authored by Anjali Verma

Since Specialization
Citations

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

Fields of papers citing papers by Anjali Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anjali Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Anjali Verma. A scholar is included among the top collaborators of Anjali Verma 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 Verma. Anjali Verma 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.
Kumar, Vikas, Dhaneshwar Kumar, Amit Singh, et al.. (2024). RelA-mediated signaling connects adaptation to chronic cardiomyocyte stress with myocardial and systemic inflammation in the ADCY8 model of accelerated aging. GeroScience. 46(5). 4243–4262. 3 indexed citations
2.
Verma, Anjali, Sweta Sharma, & Hiralal Pramanik. (2023). Rapid Identification of Optimized Process Parameters Via RSM for the Production of Valuable Aromatic Hydrocarbons Using Multiphase Catalytic Pyrolysis of Mixed Waste Plastics. Arabian Journal for Science and Engineering. 48(12). 16527–16542. 4 indexed citations
3.
Verma, Anjali, David J. Cohen, Thomas Jacobs, Barbara D. Boyan, & Zvi Schwartz. (2020). The Relative Expression of ERα Isoforms ERα66 and ERα36 Controls the Cellular Response to 24R,25-Dihydroxyvitamin D3 in Breast Cancer. Molecular Cancer Research. 19(1). 99–111. 8 indexed citations
4.
Verma, Anjali, Nofrat Schwartz, David J. Cohen, et al.. (2020). Loss of Estrogen Receptors is Associated with Increased Tumor Aggression in Laryngeal Squamous Cell Carcinoma. Scientific Reports. 10(1). 13 indexed citations
5.
Verma, Anjali, Sweta Sharma, & Hiralal Pramanik. (2020). Pyrolysis of waste expanded polystyrene and reduction of styrene via in-situ multiphase pyrolysis of product oil for the production of fuel range hydrocarbons. Waste Management. 120. 330–339. 29 indexed citations
6.
Iba, Michiyo, Changyoun Kim, Michelle A. Sallin, et al.. (2020). Neuroinflammation is associated with infiltration of T cells in Lewy body disease and α-synuclein transgenic models. Journal of Neuroinflammation. 17(1). 214–214. 70 indexed citations
7.
Bhatia, Naveen P., Alok Adholeya, & Anjali Verma. (2019). INFLUENCE OF MEDIA GELLING AGENTS ON ROOT BIOMASS AND IN VITRO VA-MYCORRfflZAL SYMBIOSIS OF CARROT WITH GIGASPORA MARGARITA. BIOTROPIA. 2 indexed citations
8.
Teotia, M, et al.. (2019). Salen Type Copper (II) Complexes as Flame Retardants for PVC Sheets. Journal of Scientific & Industrial Research. 78(1). 46–49. 2 indexed citations
9.
Verma, Anjali, Nofrat Schwartz, David J. Cohen, Barbara D. Boyan, & Zvi Schwartz. (2019). Estrogen signaling and estrogen receptors as prognostic indicators in laryngeal cancer. Steroids. 152. 108498–108498. 20 indexed citations
10.
Baxter, John D., et al.. (2018). Hepatitis C Virus Reinfection after Sustained Virological Response in Those Who Continue to Inject Drugs at the Time of Treatment. Research Explorer (The University of Manchester). 2 indexed citations
11.
Cohen, David J., Vaidehi Patel, Anjali Verma, Barbara D. Boyan, & Zvi Schwartz. (2017). Effect of 17β-estradiol on estrogen receptor negative breast cancer cells in an osteolytic mouse model. Steroids. 142. 28–33. 5 indexed citations
12.
Schwartz, Nofrat, et al.. (2017). Estradiol receptor profile and estrogen responsiveness in laryngeal cancer and clinical outcomes. Steroids. 142. 34–42. 16 indexed citations
13.
Agnes, Richard S., et al.. (2012). An Optical Probe for Noninvasive Molecular Imaging of Orthotopic Brain Tumors Overexpressing Epidermal Growth Factor Receptor. Molecular Cancer Therapeutics. 11(10). 2202–2211. 36 indexed citations
14.
Basundra, Richa, Akinchan Kumar, Samir Amrane, et al.. (2010). A novel G‐quadruplex motif modulates promoter activity of human thymidine kinase 1. FEBS Journal. 277(20). 4254–4264. 20 indexed citations
15.
Li, Keguo, Yannick Blum, Anjali Verma, et al.. (2009). A noncoding antisense RNA in tie-1 locus regulates tie-1 function in vivo. Blood. 115(1). 133–139. 130 indexed citations
16.
Thakur, Ram Krishna, Praveen Kumar, Kangkan Halder, et al.. (2008). Metastases suppressor NM23-H2 interaction with G-quadruplex DNA within c-MYC promoter nuclease hypersensitive element induces c-MYC expression. Nucleic Acids Research. 37(1). 172–183. 153 indexed citations
17.
Rao, V. Kesava, et al.. (2007). Lipid profile and fatty acid composition of chevon as effected by feeding water washed neem seed (Azadirachta indica) kernal cake. Indian Journal of Small Ruminants (The). 13(1). 19–26. 1 indexed citations
18.
Latz, Eicke, Anjali Verma, Alberto Visintin, et al.. (2007). Ligand-induced conformational changes allosterically activate Toll-like receptor 9. Nature Immunology. 8(7). 772–779. 375 indexed citations
19.
Verma, Anjali, et al.. (2006). Application of Ni substituted Li-Zn-Mn ferrite for the suppression of transients. 426–432. 1 indexed citations
20.
Lamphier, Marc S., Cherilyn M. Sirois, Anjali Verma, Douglas T. Golenbock, & Eicke Latz. (2006). TLR9 and the Recognition of Self and Non‐Self Nucleic Acids. Annals of the New York Academy of Sciences. 1082(1). 31–43. 78 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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