Gunjan Dagar

495 total citations · 1 hit paper
16 papers, 283 citations indexed

About

Gunjan Dagar is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Gunjan Dagar has authored 16 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Biomedical Engineering. Recurrent topics in Gunjan Dagar's work include CAR-T cell therapy research (4 papers), Nanowire Synthesis and Applications (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Gunjan Dagar is often cited by papers focused on CAR-T cell therapy research (4 papers), Nanowire Synthesis and Applications (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Gunjan Dagar collaborates with scholars based in India, United States and Qatar. Gunjan Dagar's co-authors include Mayank Singh, Rakesh Kumar, Tej K. Pandita, Muzafar A. Macha, Kamlesh Yadav, Ashna Gupta, Ajaz A. Bhat, Ammira S. Al-Shabeeb Akil, Shahab Uddin and Gargi Bagchi and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Gunjan Dagar

14 papers receiving 279 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Harnessing the potential of CAR-T cell therapy: progress, challenges, and future directions in hematological and solid tumor treatments

2023 108 citations Gunjan Dagar, Ashna Gupta et al. Journal of Translational Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gunjan Dagar India	8	156	129	64	45	39	16	283
Ravi Chauhan India	8	148 0.9×	149 1.2×	55 0.9×	41 0.9×	26 0.7×	19	318
Qunyi Guo China	10	171 1.1×	141 1.1×	60 0.9×	51 1.1×	40 1.0×	28	325
Christopher M. Bourne United States	10	150 1.0×	121 0.9×	92 1.4×	59 1.3×	22 0.6×	17	263
Meihong Wu China	11	144 0.9×	167 1.3×	50 0.8×	40 0.9×	65 1.7×	21	362
Charly R. Good United States	8	128 0.8×	269 2.1×	46 0.7×	33 0.7×	18 0.5×	11	371
Xintao Yang China	9	135 0.9×	90 0.7×	50 0.8×	37 0.8×	82 2.1×	20	276
Aodrenn Spill Switzerland	4	241 1.5×	78 0.6×	137 2.1×	68 1.5×	19 0.5×	6	300
Maria Liousia United States	11	236 1.5×	122 0.9×	119 1.9×	81 1.8×	74 1.9×	16	412
Su Phyu United States	10	124 0.8×	107 0.8×	73 1.1×	24 0.5×	39 1.0×	20	243

Countries citing papers authored by Gunjan Dagar

Since Specialization

Citations

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

Fields of papers citing papers by Gunjan Dagar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunjan Dagar

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

All Works

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16 of 16 papers shown

Dagar, Gunjan, Lakshmana Das, Abhishek Shankar, et al.. (2025). Prognostic value of circulating HPV cell-free DNA in cervical cancer using liquid biopsy. Scientific Reports. 15(1). 11480–11480. 4 indexed citations

Chauhan, Ravi, et al.. (2025). Abstract 5574: Exploring the therapeutic potential of USP14 in cervical cancer: mechanisms of oncogenesis and metabolic regulation. Cancer Research. 85(8_Supplement_1). 5574–5574.

Gupta, Ashna, et al.. (2024). CAR T-cell therapy in cancer: Integrating nursing perspectives for enhanced patient care. Asia-Pacific Journal of Oncology Nursing. 11(10). 100579–100579. 3 indexed citations

Gupta, Ashna, Gunjan Dagar, Hana Q. Sadida, et al.. (2024). Role of lamins in cellular physiology and cancer. Advances in protein chemistry and structural biology. 143. 119–153.

Dagar, Gunjan, Ashna Gupta, Abhishek Shankar, et al.. (2024). The future of cancer treatment: combining radiotherapy with immunotherapy. Frontiers in Molecular Biosciences. 11. 1409300–1409300. 14 indexed citations

Singh, Mayank, Ravi Chauhan, Ashna Gupta, et al.. (2024). Abstract 1830: Bergenin inhibits growth of human cervical cancer cells by decreasing galectin-3 and MMP-9 expression. Cancer Research. 84(6_Supplement). 1830–1830. 2 indexed citations

Dagar, Gunjan, Tariq Masoodi, Sheema Hashem, et al.. (2024). Bergenin inhibits growth of human cervical cancer cells by decreasing Galectin-3 and MMP-9 expression. Scientific Reports. 14(1). 15287–15287. 7 indexed citations

Kumar, Sachin, Azhar U. Khan, Gunjan Dagar, et al.. (2024). CAR-T cell therapy: a game-changer in cancer treatment and beyond. Clinical & Translational Oncology. 26(6). 1300–1318. 11 indexed citations

Dagar, Gunjan, Rakesh Kumar, Kamlesh Yadav, Mayank Singh, & Tej K. Pandita. (2023). Ubiquitination and deubiquitination: Implications on cancer therapy. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1866(4). 194979–194979. 48 indexed citations

10.

Mishra, Abhinava K., Ashna Gupta, Gunjan Dagar, et al.. (2023). CAR-T-Cell Therapy in Multiple Myeloma: B-Cell Maturation Antigen (BCMA) and Beyond. Vaccines. 11(11). 1721–1721. 26 indexed citations

11.

Dagar, Gunjan, Hana Q. Sadida, Sheema Hashem, et al.. (2023). Cyclin-dependent kinases in cancer: Role, regulation, and therapeutic targeting. Advances in protein chemistry and structural biology. 135. 21–55. 18 indexed citations

12.

Dagar, Gunjan, Ashna Gupta, Tariq Masoodi, et al.. (2023). Harnessing the potential of CAR-T cell therapy: progress, challenges, and future directions in hematological and solid tumor treatments. Journal of Translational Medicine. 21(1). 449–449. 108 indexed citations breakdown →

13.

Dagar, Gunjan & Gargi Bagchi. (2021). Novel use of coactivators to enhance sensitivity of SEAP-based reporter assay system for visual monitoring and quantitation of androgens and antiandrogens in water. The Science of The Total Environment. 771. 144514–144514. 1 indexed citations

14.

Dagar, Gunjan, Sudhir Kumar, Sudhir Rawal, et al.. (2020). Activation of GPR56, a novel adhesion GPCR, is necessary for nuclear androgen receptor signaling in prostate cells. PLoS ONE. 15(9). e0226056–e0226056. 10 indexed citations

15.

Dagar, Gunjan, et al.. (2019). Phosphorylation of HSP90 by protein kinase A is essential for the nuclear translocation of androgen receptor. Journal of Biological Chemistry. 294(22). 8699–8710. 30 indexed citations

16.

Bhattacharjee, Gargi, Gunjan Dagar, & Shruti Khurana. (2017). Base-rich Diet Best for Humans. 1 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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