Tushar Singh Barwal

739 total citations
20 papers, 569 citations indexed

About

Tushar Singh Barwal is a scholar working on Cancer Research, Molecular Biology and Surgery. According to data from OpenAlex, Tushar Singh Barwal has authored 20 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cancer Research, 14 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Tushar Singh Barwal's work include Cancer-related molecular mechanisms research (11 papers), RNA modifications and cancer (8 papers) and MicroRNA in disease regulation (6 papers). Tushar Singh Barwal is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), RNA modifications and cancer (8 papers) and MicroRNA in disease regulation (6 papers). Tushar Singh Barwal collaborates with scholars based in India, United States and Türkiye. Tushar Singh Barwal's co-authors include Aklank Jain, Uttam Sharma, Hardeep Singh Tuli, Karen M. Vásquez, Mehmet Varol, Katrin Sak, Ginpreet Kaur, Diwakar Aggarwal, Anupam Bishayee and Vaishali Aggarwal and has published in prestigious journals such as International Journal of Molecular Sciences, Life Sciences and Seminars in Cancer Biology.

In The Last Decade

Tushar Singh Barwal

19 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tushar Singh Barwal India 13 334 259 78 65 57 20 569
Sepideh Mirzaei Iran 10 338 1.0× 148 0.6× 72 0.9× 102 1.6× 70 1.2× 27 583
Hongyuan Yu China 16 355 1.1× 178 0.7× 53 0.7× 76 1.2× 119 2.1× 46 654
Seyed Omid Sharifzadeh Türkiye 7 369 1.1× 205 0.8× 64 0.8× 71 1.1× 33 0.6× 7 639
Yukai Xiang China 11 323 1.0× 111 0.4× 60 0.8× 100 1.5× 60 1.1× 20 515
Hsiao‐Fan Chen Taiwan 14 358 1.1× 158 0.6× 38 0.5× 127 2.0× 56 1.0× 22 640
Ailin Zhang China 10 250 0.7× 146 0.6× 42 0.5× 58 0.9× 45 0.8× 30 480
Kequn Chai China 14 387 1.2× 196 0.8× 36 0.5× 82 1.3× 76 1.3× 34 607
Mahdi Vasheghani Farahani Türkiye 8 383 1.1× 158 0.6× 56 0.7× 127 2.0× 40 0.7× 8 688
Ying Zan China 12 403 1.2× 239 0.9× 38 0.5× 80 1.2× 35 0.6× 21 640
Weilin Li China 13 527 1.6× 325 1.3× 57 0.7× 166 2.6× 100 1.8× 28 795

Countries citing papers authored by Tushar Singh Barwal

Since Specialization
Citations

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

Fields of papers citing papers by Tushar Singh Barwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tushar Singh Barwal. 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 Tushar Singh Barwal. The network helps show where Tushar Singh Barwal may publish in the future.

Co-authorship network of co-authors of Tushar Singh Barwal

This figure shows the co-authorship network connecting the top 25 collaborators of Tushar Singh Barwal. A scholar is included among the top collaborators of Tushar Singh Barwal 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 Tushar Singh Barwal. Tushar Singh Barwal 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.
Barwal, Tushar Singh, et al.. (2025). High prevalence of methotrexate intolerance in rheumatoid arthritis patients: a cross-sectional study. BMC Rheumatology. 9(1). 89–89.
2.
Arora, Tania, Randeep Singh, Tushar Singh Barwal, et al.. (2022). Dysregulated miRNAs in Progression and Pathogenesis of Alzheimer’s Disease. Molecular Neurobiology. 59(10). 6107–6124. 24 indexed citations
3.
4.
Barwal, Tushar Singh, et al.. (2022). The imminent role of microRNAs in salivary adenoid cystic carcinoma. Translational Oncology. 27. 101573–101573. 8 indexed citations
5.
6.
Barwal, Tushar Singh, et al.. (2022). miR-590–5p: A double-edged sword in the oncogenesis process. Cancer Treatment and Research Communications. 32. 100593–100593. 8 indexed citations
7.
Sharma, Uttam, et al.. (2022). Evolution of Frozen Section in Carcinoma Breast: Systematic Review. International Journal of Breast Cancer. 2022. 1–7. 8 indexed citations
8.
Sharma, Uttam, et al.. (2022). Clinical Potential of Long Non-Coding Rna Linc01133 As A Promising Biomarker and Therapeutic Target in Cancers. Biomarkers in Medicine. 16(5). 349–369. 7 indexed citations
9.
Khandelwal, Akanksha, Uttam Sharma, Tushar Singh Barwal, et al.. (2021). Circulating miR-320a Acts as a Tumor Suppressor and Prognostic Factor in Non-small Cell Lung Cancer. Frontiers in Oncology. 11. 645475–645475. 34 indexed citations
10.
Aggarwal, Vaishali, Hardeep Singh Tuli, Mehmet Varol, et al.. (2021). NOTCH signaling: Journey of an evolutionarily conserved pathway in driving tumor progression and its modulation as a therapeutic target. Critical Reviews in Oncology/Hematology. 164. 103403–103403. 21 indexed citations
11.
Barwal, Tushar Singh, Uttam Sharma, Manju Jain, et al.. (2021). MicroRNAs and Long Noncoding RNAs as Novel Therapeutic Targets in Estrogen Receptor-Positive Breast and Ovarian Cancers. International Journal of Molecular Sciences. 22(8). 4072–4072. 14 indexed citations
12.
Barwal, Tushar Singh, et al.. (2021). Current Trends of Carcinoma: Experience of a Tertiary Care Cancer Center in North India. Cureus. 13(6). e15788–e15788. 4 indexed citations
13.
Sharma, Uttam, Tushar Singh Barwal, Akanksha Khandelwal, et al.. (2021). LncRNA ZFAS1 inhibits triple-negative breast cancer by targeting STAT3. Biochimie. 182. 99–107. 33 indexed citations
14.
Sharma, Uttam, Tushar Singh Barwal, Satyendra Kumar Singh, et al.. (2020). Long Non-Coding RNAs as Strategic Molecules to Augment the Radiation Therapy in Esophageal Squamous Cell Carcinoma. International Journal of Molecular Sciences. 21(18). 6787–6787. 10 indexed citations
15.
Tuli, Hardeep Singh, Sonam Mittal, Diwakar Aggarwal, et al.. (2020). Path of Silibinin from diet to medicine: A dietary polyphenolic flavonoid having potential anti-cancer therapeutic significance. Seminars in Cancer Biology. 73. 196–218. 78 indexed citations
16.
Sharma, Uttam, et al.. (2020). Cancer Susceptibility Candidate 9 (CASC9): A Novel Targetable Long Noncoding RNA in Cancer Treatment. Translational Oncology. 13(8). 100774–100774. 30 indexed citations
17.
Aggarwal, Vaishali, Hardeep Singh Tuli, Mousumi Tania, et al.. (2020). Molecular mechanisms of action of epigallocatechin gallate in cancer: Recent trends and advancement. Seminars in Cancer Biology. 80. 256–275. 166 indexed citations
18.
Nadella, Vinod, Manoj Garg, Sonia Kapoor, et al.. (2020). Emerging neo adjuvants for harnessing therapeutic potential of M1 tumor associated macrophages (TAM) against solid tumors: Enusage of plasticity. Annals of Translational Medicine. 8(16). 1029–1029. 18 indexed citations
19.
Sharma, Uttam, Tushar Singh Barwal, Vivek Vivek, et al.. (2020). Long non-coding RNA TINCR as potential biomarker and therapeutic target for cancer. Life Sciences. 257. 118035–118035. 56 indexed citations
20.
Barwal, Tushar Singh, Uttam Sharma, Karen M. Vásquez, Hridayesh Prakash, & Aklank Jain. (2020). A panel of circulating long non-coding RNAs as liquid biopsy biomarkers for breast and cervical cancers. Biochimie. 176. 62–70. 25 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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