Amit Sharma

1.9k total citations
87 papers, 1.2k citations indexed

About

Amit Sharma is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Amit Sharma has authored 87 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 28 papers in Immunology and 19 papers in Oncology. Recurrent topics in Amit Sharma's work include Epigenetics and DNA Methylation (18 papers), Immune Cell Function and Interaction (17 papers) and CAR-T cell therapy research (9 papers). Amit Sharma is often cited by papers focused on Epigenetics and DNA Methylation (18 papers), Immune Cell Function and Interaction (17 papers) and CAR-T cell therapy research (9 papers). Amit Sharma collaborates with scholars based in Germany, China and India. Amit Sharma's co-authors include Tikam Chand Dakal, Ingo G.H. Schmidt‐Wolf, Ullrich Wüllner, Hongde Liu, Martina C. Herwig‐Carl, Yutao Li, Karin U. Loeffler, Jarek Maciaczyk, Holger Fröhlich and Frank G. Holz and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Amit Sharma

83 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit Sharma Germany 19 674 269 233 183 148 87 1.2k
Federico Galvagni Italy 27 1.3k 1.9× 215 0.8× 282 1.2× 174 1.0× 173 1.2× 60 1.8k
Christine R. Klaus Germany 15 1.6k 2.4× 173 0.6× 188 0.8× 122 0.7× 94 0.6× 35 1.9k
Jeanette Woolard United Kingdom 20 1.4k 2.1× 126 0.5× 318 1.4× 350 1.9× 57 0.4× 50 2.0k
Laura Asnaghi United States 20 924 1.4× 142 0.5× 230 1.0× 225 1.2× 62 0.4× 38 1.4k
Jongbum Kwon South Korea 22 1.2k 1.8× 336 1.2× 259 1.1× 168 0.9× 89 0.6× 35 1.7k
Yi‐Fen Lee United States 26 1.0k 1.6× 163 0.6× 165 0.7× 328 1.8× 410 2.8× 48 1.7k
Kristine Hardy Australia 18 596 0.9× 372 1.4× 230 1.0× 212 1.2× 75 0.5× 36 1.0k
Laura E. Kilpatrick United Kingdom 17 871 1.3× 258 1.0× 287 1.2× 111 0.6× 38 0.3× 42 1.3k
Caiyun Liu China 18 330 0.5× 180 0.7× 182 0.8× 101 0.6× 54 0.4× 59 951

Countries citing papers authored by Amit Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Amit Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Sharma. A scholar is included among the top collaborators of Amit Sharma 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 Sharma. Amit Sharma 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.
Sharma, Amit, et al.. (2025). The Role of TIM-3 in Glioblastoma Progression. Cells. 14(5). 346–346. 2 indexed citations
3.
Herwig‐Carl, Martina C., Amit Sharma, Verena Tischler, et al.. (2024). Mass Spectrometry-Based Profiling of Histone Post-Translational Modifications in Uveal Melanoma Tissues, Human Melanocytes, and Uveal Melanoma Cell Lines – A Pilot Study. Investigative Ophthalmology & Visual Science. 65(2). 27–27. 3 indexed citations
4.
Evert, Bernd O., et al.. (2024). The Alpha-Synuclein Gene (SNCA) is a Genomic Target of Methyl-CpG Binding Protein 2 (MeCP2)—Implications for Parkinson’s Disease and Rett Syndrome. Molecular Neurobiology. 61(10). 7830–7844. 7 indexed citations
5.
Dakal, Tikam Chand, Ravi Bhushan, Caiming Xu, et al.. (2024). Intricate relationship between cancer stemness, metastasis, and drug resistance. SHILAP Revista de lepidopterología. 5(10). e710–e710. 29 indexed citations
6.
Wang, Yulu, Amit Sharma, Ulrich Jaehde, et al.. (2023). Computational analysis of heat shock proteins and ferroptosis-associated lncRNAs to predict prognosis in acute myeloid leukemia patients. Frontiers in Genetics. 14. 1218276–1218276. 3 indexed citations
7.
Wang, Yulu, Amit Sharma, Hongde Liu, et al.. (2023). Cytokine-Induced Killer Cells in Combination with Heat Shock Protein 90 Inhibitors Functioning via the Fas/FasL Axis Provides Rationale for a Potential Clinical Benefit in Burkitt’s lymphoma. International Journal of Molecular Sciences. 24(15). 12476–12476. 5 indexed citations
9.
Nickel, Ann‐Christin, Philipp Westhoff, Amit Sharma, et al.. (2022). WNT/β-Catenin-Mediated Resistance to Glucose Deprivation in Glioblastoma Stem-like Cells. Cancers. 14(13). 3165–3165. 7 indexed citations
10.
Sharma, Amit, Yulu Wang, Tikam Chand Dakal, et al.. (2022). Systematic discrimination of the repetitive genome in proximity of ferroptosis genes and a novel prognostic signature correlating with the oncogenic lncRNA CRNDE in multiple myeloma. Frontiers in Oncology. 12. 1026153–1026153. 6 indexed citations
11.
Zeng, Qingyun, et al.. (2022). Role of 18F-FDG PET/CT in patients affected by pulmonary primary lymphoma. Frontiers in Oncology. 12. 973109–973109. 7 indexed citations
12.
Sharma, Amit, Tikam Chand Dakal, Hongde Liu, et al.. (2021). PPAR-Responsive Elements Enriched with Alu Repeats May Contribute to Distinctive PPARγ–DNMT1 Interactions in the Genome. Cancers. 13(16). 3993–3993. 4 indexed citations
13.
Koch, Katharina, Rudolf Hartmann, Abigail K. Suwala, et al.. (2021). Overexpression of Cystine/Glutamate Antiporter xCT Correlates with Nutrient Flexibility and ZEB1 Expression in Highly Clonogenic Glioblastoma Stem-like Cells (GSCs). Cancers. 13(23). 6001–6001. 12 indexed citations
14.
Sharma, Amit, Hongde Liu, Tikam Chand Dakal, et al.. (2020). Ubiquitin Carboxyl-Terminal Hydrolases (UCHs): Potential Mediators for Cancer and Neurodegeneration. International Journal of Molecular Sciences. 21(11). 3910–3910. 27 indexed citations
15.
Li, Huamei, et al.. (2020). A deconvolution method and its application in analyzing the cellular fractions in acute myeloid leukemia samples. BMC Genomics. 21(1). 652–652. 15 indexed citations
16.
Sharma, Amit, Arijit Biswas, Hongde Liu, et al.. (2019). Mutational Landscape of the BAP1 Locus Reveals an Intrinsic Control to Regulate the miRNA Network and the Binding of Protein Complexes in Uveal Melanoma. Cancers. 11(10). 1600–1600. 31 indexed citations
17.
Herwig‐Carl, Martina C., et al.. (2018). BAP1 Immunostaining in Uveal Melanoma: Potentials and Pitfalls. Ocular Oncology and Pathology. 4(5). 297–297. 10 indexed citations
18.
Sharma, Amit, Oliver Kaut, Anna Pavlova, et al.. (2017). Skewed X-chromosome inactivation and XIST locus methylation levels do not contribute to the lower prevalence of Parkinson's disease in females. Neurobiology of Aging. 57. 248.e1–248.e5. 11 indexed citations
19.
Goering, Wolfgang, Albertas Daukša, Arijit Biswas, et al.. (2015). Inter-locus as well as intra-locus heterogeneity in LINE-1 promoter methylation in common human cancers suggests selective demethylation pressure at specific CpGs. Clinical Epigenetics. 7(1). 17–17. 30 indexed citations
20.
Sharma, Amit, et al.. (2014). Markov chain model to study the gene expression. Advances in Applied Science Research. 5(2). 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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