Adheesh Bhandari

1.2k total citations
66 papers, 819 citations indexed

About

Adheesh Bhandari is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology. According to data from OpenAlex, Adheesh Bhandari has authored 66 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 22 papers in Endocrinology, Diabetes and Metabolism and 20 papers in Oncology. Recurrent topics in Adheesh Bhandari's work include Thyroid Cancer Diagnosis and Treatment (22 papers), RNA modifications and cancer (16 papers) and Cancer-related molecular mechanisms research (12 papers). Adheesh Bhandari is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (22 papers), RNA modifications and cancer (16 papers) and Cancer-related molecular mechanisms research (12 papers). Adheesh Bhandari collaborates with scholars based in China, Nepal and United States. Adheesh Bhandari's co-authors include Erjie Xia, Ouchen Wang, Yanyan Shen, Fan Yang, Xiaohua Zhang, Xiaofen Zhou, Yinghao Wang, Yinghao Wang, Chen Zheng and Jingjing Xiang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, American Journal of Physiology-Gastrointestinal and Liver Physiology and Current Medicinal Chemistry.

In The Last Decade

Adheesh Bhandari

65 papers receiving 811 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adheesh Bhandari China 18 514 375 141 138 115 66 819
Erjie Xia China 17 565 1.1× 423 1.1× 136 1.0× 134 1.0× 63 0.5× 52 789
Yong Luo China 15 458 0.9× 250 0.7× 154 1.1× 308 2.2× 89 0.8× 35 806
Simeng Wen China 17 559 1.1× 407 1.1× 310 2.2× 224 1.6× 59 0.5× 30 933
Diana G. Wang United States 6 496 1.0× 225 0.6× 165 1.2× 170 1.2× 48 0.4× 8 749
Walid J. Azar Australia 11 480 0.9× 262 0.7× 190 1.3× 254 1.8× 181 1.6× 11 827
Youngtae Jeong United States 11 504 1.0× 199 0.5× 154 1.1× 190 1.4× 50 0.4× 20 805
Mila Gugnoni Italy 12 502 1.0× 328 0.9× 91 0.6× 134 1.0× 112 1.0× 22 767
Julia Hoefer Austria 14 416 0.8× 272 0.7× 333 2.4× 268 1.9× 119 1.0× 18 828
Lacey M. Litchfield United States 18 557 1.1× 454 1.2× 225 1.6× 309 2.2× 47 0.4× 37 962

Countries citing papers authored by Adheesh Bhandari

Since Specialization
Citations

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

Fields of papers citing papers by Adheesh Bhandari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adheesh Bhandari

This figure shows the co-authorship network connecting the top 25 collaborators of Adheesh Bhandari. A scholar is included among the top collaborators of Adheesh Bhandari 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 Adheesh Bhandari. Adheesh Bhandari 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.
Zhou, Yuying, et al.. (2024). GNPNAT1 is a Biomarker That Predicts a Poor Prognosis of Breast Cancer. Breast Cancer Targets and Therapy. Volume 16. 71–89. 1 indexed citations
2.
Bhandari, Adheesh, et al.. (2023). PAFAH1B3 Regulates Papillary Thyroid Carcinoma CellProliferation and Metastasis by Affecting the EMT. Current Medicinal Chemistry. 31(9). 1152–1164. 3 indexed citations
3.
Hu, Chunlei, Hao Chen, Yinghao Wang, et al.. (2023). LINC00891 Promotes Tumorigenesis and Metastasis of ThyroidCancer by Regulating SMAD2/3 via EZH2. Current Medicinal Chemistry. 31(24). 3818–3833. 2 indexed citations
4.
Jiang, Wenjie, et al.. (2023). Budding uninhibited by benzimidazoles 1 might be a poor prognosis biomarker promoting the progression of papillary thyroid cancer. Environmental Toxicology. 38(9). 2047–2056. 3 indexed citations
5.
6.
Shen, Yanyan, et al.. (2023). The pan‐cancer analysis of the oncogenic role of FAM72A as a BRCA prognostic biomarker and immunotherapeutic target. Environmental Toxicology. 38(5). 1100–1117. 8 indexed citations
7.
Liu, Conghui, Adheesh Bhandari, Huihui Li, et al.. (2023). S100A6 promotes the development of thyroid cancer and inhibits apoptosis of thyroid cancer cells through the PI3K/AKT/mTOR pathway. Pathology - Research and Practice. 242. 154325–154325. 6 indexed citations
8.
Bhandari, Adheesh, et al.. (2021). PSD3 is an oncogene that promotes proliferation, migration, invasion, and G1/S transition while inhibits apoptotic in papillary thyroid cancer. Journal of Cancer. 12(18). 5413–5422. 8 indexed citations
9.
Chen, Hao, et al.. (2021). Phospholipase C Delta 3 inhibits apoptosis and promotes proliferation, migration, and invasion of thyroid cancer cells via Hippo pathway. Acta Biochimica et Biophysica Sinica. 53(4). 481–491. 16 indexed citations
10.
Zheng, Chen, et al.. (2020). Scavenger receptor class A, member 5 is associated with thyroid cancer cell lines progression via epithelial‐mesenchymal transition. Cell Biochemistry and Function. 38(2). 158–166. 5 indexed citations
11.
Wang, Yinghao, et al.. (2019). The lncRNA UNC5B-AS1 promotes proliferation, migration, and invasion in papillary thyroid cancer cell lines. Human Cell. 32(3). 334–342. 26 indexed citations
12.
Zhou, Yuying, et al.. (2019). LRRC52‐AS1 is associated with clinical progression and regulates cell migration and invasion in papillary thyroid cancer. Clinical and Experimental Pharmacology and Physiology. 47(4). 696–702. 5 indexed citations
13.
Munir, Fahad, et al.. (2019). Protective effects of maresin 1 against inflammation in experimentally induced acute pancreatitis and related lung injury. American Journal of Physiology-Gastrointestinal and Liver Physiology. 317(3). G333–G341. 18 indexed citations
14.
Bhandari, Adheesh, et al.. (2019). lncRNA FOXD3‐AS1 is associated with clinical progression and regulates cell migration and invasion in breast cancer. Cell Biochemistry and Function. 37(4). 239–244. 27 indexed citations
15.
Wang, Yinghao, et al.. (2019). IGSF1: A novel oncogene regulates the thyroid cancer progression. Cell Biochemistry and Function. 37(7). 516–524. 11 indexed citations
16.
Zhou, Xiaofen, Erjie Xia, Adheesh Bhandari, et al.. (2018). LRP4 promotes proliferation, migration, and invasion in papillary thyroid cancer. Biochemical and Biophysical Research Communications. 503(1). 257–263. 16 indexed citations
17.
Xia, Erjie, Adheesh Bhandari, Yanyan Shen, et al.. (2018). LncRNA CCND2-AS1 promotes proliferation, migration, and invasion in papillary thyroid carcinoma. Biochemical and Biophysical Research Communications. 496(2). 628–632. 27 indexed citations
18.
Bhandari, Adheesh, et al.. (2018). MAL2 promotes proliferation, migration, and invasion through regulating epithelial-mesenchymal transition in breast cancer cell lines. Biochemical and Biophysical Research Communications. 504(2). 434–439. 34 indexed citations
19.
Wang, Yinghao, et al.. (2017). Upregulated LAMB3 increases proliferation and metastasis in thyroid cancer. OncoTargets and Therapy. Volume 11. 37–46. 26 indexed citations
20.
Bhandari, Adheesh, et al.. (2017). Novel strategy of stents in thyroid mass: a case series report of managing severely dyspneic patients. OncoTargets and Therapy. Volume 10. 4997–5004. 4 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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