Amit Kumar Verma

982 total citations
41 papers, 639 citations indexed

About

Amit Kumar Verma is a scholar working on Molecular Biology, Cancer Research and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Amit Kumar Verma has authored 41 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Cancer Research and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Amit Kumar Verma's work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers) and Circular RNAs in diseases (5 papers). Amit Kumar Verma is often cited by papers focused on MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers) and Circular RNAs in diseases (5 papers). Amit Kumar Verma collaborates with scholars based in India, Saudi Arabia and United States. Amit Kumar Verma's co-authors include Arshad Husain Rahmani, Mohammed A. Alsahli, Saleh A. Almatroodi, Ahmad Almatroudi, Kapil Dev, Mirza Masroor Ali Beg, Khaled S. Allemailem, Amjad Ali Khan, Nootan Kumar Shukla and Ranju Ralhan and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Amit Kumar Verma

38 papers receiving 631 citations

Peers

Amit Kumar Verma
Mohamed Y. Zaky Egypt
Qingdi Quentin Li China
Kousuke Ishino Japan
Devaraja Rajasekaran United States
Izabela Berdowska Poland
Christos Kazazis Greece
Maria Rita Emma Italy
Masayoshi Fujisawa Japan
Minghua Liu China
Liangjie Yin United States
Mohamed Y. Zaky Egypt
Amit Kumar Verma
Citations per year, relative to Amit Kumar Verma Amit Kumar Verma (= 1×) peers Mohamed Y. Zaky

Countries citing papers authored by Amit Kumar Verma

Since Specialization
Citations

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

Fields of papers citing papers by Amit Kumar Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Kumar Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Kumar Verma. A scholar is included among the top collaborators of Amit Kumar 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 Amit Kumar Verma. Amit Kumar 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
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Verma, Amit Kumar, Irfan Ahmad, Mohammad Y. Alshahrani, et al.. (2022). Association of lncRNA LINC01173 Expression with Vitamin-D and Vitamin B12 Level Among Type 2 Diabetes Patients. Diabetes Metabolic Syndrome and Obesity. Volume 15. 2535–2543. 3 indexed citations
3.
Alkhathami, Ali G., et al.. (2022). Serum-Based lncRNA ANRIL, TUG1, UCA1, and HIT Expressions in Breast Cancer Patients. Disease Markers. 2022. 1–11. 17 indexed citations
4.
Singh, Prithvi, Amit Kumar Verma, Mohammed A. Alsahli, et al.. (2022). Integrated transcriptomic and regulatory network analyses uncovers the role of let-7b-5p, SPIB, and HLA-DPB1 in sepsis. Scientific Reports. 12(1). 11963–11963. 10 indexed citations
5.
Pathak, Divya, Amit Kumar Verma, Abdulrahman A. Alsayegh, et al.. (2022). Role of metabolizing MTHFR gene polymorphism (rs1801133) and its mRNA expression among Type 2 Diabetes. Journal of Diabetes & Metabolic Disorders. 21(1). 511–516. 8 indexed citations
6.
Alkhathami, Ali G., Amit Kumar Verma, Mohammed Alfaifi, et al.. (2021). Role of miRNA-495 and NRXN-1 and CNTN-1 mRNA Expression and Its Prognostic Importance in Breast Cancer Patients. Journal of Oncology. 2021. 1–10. 7 indexed citations
7.
Verma, Amit Kumar, Yamini Goyal, Kapil Dev, et al.. (2021). Association of Rheumatoid Arthritis with Diabetic Comorbidity: Correlating Accelerated Insulin Resistance to Inflammatory Responses in Patients. Journal of Multidisciplinary Healthcare. Volume 14. 809–820. 22 indexed citations
8.
Shaikh, Sibhghatulla, Khurshid Ahmad, Syed Sayeed Ahmad, et al.. (2021). Natural Products in Therapeutic Management of Multineurodegenerative Disorders by Targeting Autophagy. Oxidative Medicine and Cellular Longevity. 2021(1). 6347792–6347792. 13 indexed citations
9.
Abohashrh, Mohammed, Irfan Ahmad, Mohammad Mahtab Alam, et al.. (2021). Assessment of IL-12, mRNA expression, vitamin-D level, and their correlation among the Mycobacterium tuberculosis cases. Saudi Journal of Biological Sciences. 29(2). 992–997. 1 indexed citations
10.
Singh, Prithvi, Arpita Rai, Amit Kumar Verma, et al.. (2021). Survival-Based Biomarker Module Identification Associated with Oral Squamous Cell Carcinoma (OSCC). Biology. 10(8). 760–760. 20 indexed citations
11.
Beg, Mirza Masroor Ali, et al.. (2021). Regulation of miR-126 and miR-122 Expression and Response of Imatinib Treatment on Its Expression in Chronic Myeloid Leukemia Patients. Oncology Research and Treatment. 44(10). 530–537. 6 indexed citations
12.
Verma, Amit Kumar, Yamini Goyal, Kapil Dev, et al.. (2021). A Compendium of Perspectives on Diabetes: A Challenge for Sustainable Health in the Modern Era. Diabetes Metabolic Syndrome and Obesity. Volume 14. 2775–2787. 18 indexed citations
13.
Alfaifi, Mohammed, Amit Kumar Verma, Mohammad Y. Alshahrani, et al.. (2020). <p>Assessment of Cell-Free Long Non-Coding RNA-H19 and miRNA-29a, miRNA-29b Expression and Severity of Diabetes</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 3727–3737. 26 indexed citations
14.
Beg, Mirza Masroor Ali, et al.. (2020). Role and Significance of Circulating Biomarkers: miRNA and E2F1 mRNA Expression and Their Association with Type-2 Diabetic Complications. International Journal of Endocrinology. 2020. 1–7. 9 indexed citations
15.
Verma, Amit Kumar, Irfan Ahmad, Arshad Husain Rahmani, et al.. (2020). Expression and Correlation of Cell-Free cIAP-1 and cIAP-2 mRNA in Breast Cancer Patients: A Study from India. Journal of Oncology. 2020. 1–8. 5 indexed citations
16.
Verma, Amit Kumar, et al.. (2017). Secure Network using Secure Hash Algorithm-3 with Locking Protocol in Distributed Database System. 14(5). 13–20. 1 indexed citations
17.
18.
Farooque, Abdullah, et al.. (2009). Abstract #3176: Activation of macrophages by the glycolytic inhibitor 2-deoxy-D-glucose (2-DG): Implications for tumor therapy. Cancer Research. 69. 3176–3176. 2 indexed citations
19.
Verma, Amit Kumar, et al.. (2006). Clinical significance of mannose‐binding lectin‐associated serine protease‐2 expression in esophageal squamous cell carcinoma. International Journal of Cancer. 118(12). 2930–2935. 14 indexed citations
20.
Kambhampati, Suman, Amit Kumar Verma, Yongzhong Li, et al.. (2004). Signalling Pathways Activated by All- trans -Retinoic Acid in Acute Promyelocytic Leukemia Cells. Leukemia & lymphoma. 45(11). 2175–2185. 24 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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