Dolly Sharma

643 total citations · 1 hit paper
10 papers, 382 citations indexed

About

Dolly Sharma is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Dolly Sharma has authored 10 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Artificial Intelligence. Recurrent topics in Dolly Sharma's work include Cancer, Hypoxia, and Metabolism (4 papers), Epigenetics and DNA Methylation (4 papers) and ATP Synthase and ATPases Research (2 papers). Dolly Sharma is often cited by papers focused on Cancer, Hypoxia, and Metabolism (4 papers), Epigenetics and DNA Methylation (4 papers) and ATP Synthase and ATPases Research (2 papers). Dolly Sharma collaborates with scholars based in India, Japan and United States. Dolly Sharma's co-authors include Mamta Singh, Reshma Rani, Rajat Gupta, Fátima Baltazar, Julieta Afonso, Vivek Kumar, Vinit Kumar, Manoj Garg, Priyanka Kaushik and Atul Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biotechnology Advances and Seminars in Cancer Biology.

In The Last Decade

Dolly Sharma

7 papers receiving 380 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.

Role of LDH in tumor glycolysis: Regulation of LDHA by small molecules for cancer therapeutics

2022 232 citations Dolly Sharma, Mamta Singh et al. Seminars in Cancer Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dolly Sharma India	6	215	204	52	48	39	10	382
Charline Degavre Belgium	5	173 0.8×	154 0.8×	74 1.4×	41 0.9×	61 1.6×	7	317
Minfeng Ying China	7	232 1.1×	183 0.9×	34 0.7×	32 0.7×	34 0.9×	9	349
Patricia Altea‐Manzano Spain	10	232 1.1×	158 0.8×	56 1.1×	43 0.9×	25 0.6×	16	362
Elisa Pardella Italy	9	205 1.0×	130 0.6×	62 1.2×	46 1.0×	34 0.9×	15	323
Valérie Vial France	8	205 1.0×	147 0.7×	68 1.3×	35 0.7×	46 1.2×	14	332
Katarzyna J. Nytko Switzerland	9	175 0.8×	161 0.8×	44 0.8×	19 0.4×	47 1.2×	17	333
Jaebon Lee South Korea	6	167 0.8×	160 0.8×	62 1.2×	72 1.5×	78 2.0×	8	301
Christoph Wohlkoenig Austria	7	281 1.3×	189 0.9×	80 1.5×	44 0.9×	65 1.7×	9	413

Countries citing papers authored by Dolly Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Dolly Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dolly Sharma

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

All Works

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10 of 10 papers shown

1.

Sharma, Dolly & Priyanka Kaushik. (2025). Applications of AI in Neurological Disease Detection — A Review of Specific Ways in Which AI Is Being Used to Detect and Diagnose Neurological Disorders, Such as Alzheimer's and Parkinson's. 167–189. 7 indexed citations

2.

Sharma, Dolly, et al.. (2024). Development of Weather Forecast Application Using API. 1–5.

3.

Raj, Vishnu & Dolly Sharma. (2024). Predictive Maintenance in Autonomous Vehicles Using Machine Learning Techniques. 912–917.

4.

Sharma, Dolly, et al.. (2024). Decoding the Script: A Bi-LSTM Based Journey into Doctor's Handwriting for Precise Prescription Understanding. 1–6.

5.

Singh, Mamta, Julieta Afonso, Dolly Sharma, et al.. (2023). Targeting monocarboxylate transporters (MCTs) in cancer: How close are we to the clinics?. Seminars in Cancer Biology. 90. 1–14. 88 indexed citations

6.

Sharma, Dolly, Mamta Singh, Jayadev Joshi, et al.. (2023). Design and Synthesis of Thiazole Scaffold-Based Small Molecules as Anticancer Agents Targeting the Human Lactate Dehydrogenase A Enzyme. ACS Omega. 8(20). 17552–17562. 18 indexed citations

7.

Sharma, Dolly, et al.. (2022). Intervention on lactate in cancer: A promising approach for the development of cancer therapeutics. SHILAP Revista de lepidopterología. 5. 100058–100058. 12 indexed citations

8.

Singh, Mamta, et al.. (2022). Current understanding of biological interactions and processing of DNA origami nanostructures: Role of machine learning and implications in drug delivery. Biotechnology Advances. 61. 108052–108052. 21 indexed citations

9.

Sharma, Dolly, Mamta Singh, & Reshma Rani. (2022). Role of LDH in tumor glycolysis: Regulation of LDHA by small molecules for cancer therapeutics. Seminars in Cancer Biology. 87. 184–195. 232 indexed citations breakdown →

10.

Kumar, Vinit, Reshma Rani, Dolly Sharma, et al.. (2022). Targeting Virus-Induced Reprogrammed Cell Metabolism via GlycolyticInhibitors: An Effective Therapeutic Approach Against SARS-CoV-2. Mini-Reviews in Medicinal Chemistry. 23(2). 120–130. 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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