Kirti Sharma

4.2k total citations · 2 hit papers
67 papers, 3.0k citations indexed

About

Kirti Sharma is a scholar working on Molecular Biology, Organic Chemistry and Infectious Diseases. According to data from OpenAlex, Kirti Sharma has authored 67 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 10 papers in Organic Chemistry and 9 papers in Infectious Diseases. Recurrent topics in Kirti Sharma's work include Protein Degradation and Inhibitors (9 papers), Tuberculosis Research and Epidemiology (7 papers) and Advanced Proteomics Techniques and Applications (6 papers). Kirti Sharma is often cited by papers focused on Protein Degradation and Inhibitors (9 papers), Tuberculosis Research and Epidemiology (7 papers) and Advanced Proteomics Techniques and Applications (6 papers). Kirti Sharma collaborates with scholars based in India, Germany and United States. Kirti Sharma's co-authors include Matthias Mann, Stefka Tyanova, Jürgen Cox, Rochelle C. J. D’Souza, Jacek R. Wiśniewski, Christoph Schaab, Yogendra Singh, Caroline G. Bergner, Ludovico Cantuti‐Castelvetri and Uwe‐Karsten Hanisch and has published in prestigious journals such as Science, Nature Medicine and Blood.

In The Last Decade

Kirti Sharma

61 papers receiving 3.0k citations

Hit Papers

Ultradeep Human Phosphopr... 2014 2026 2018 2022 2014 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kirti Sharma India 23 1.9k 551 423 361 359 67 3.0k
Pavel Majer Czechia 31 1.6k 0.8× 227 0.4× 205 0.5× 361 1.0× 182 0.5× 117 3.3k
Daniel A. Bachovchin United States 34 4.1k 2.2× 493 0.9× 175 0.4× 971 2.7× 283 0.8× 54 5.5k
Young‐Ki Paik South Korea 40 3.1k 1.6× 964 1.7× 80 0.2× 364 1.0× 251 0.7× 159 5.2k
Rüdiger Pipkorn Germany 31 1.5k 0.8× 315 0.6× 99 0.2× 333 0.9× 128 0.4× 89 2.7k
Charles E. Dann United States 24 1.7k 0.9× 210 0.4× 214 0.5× 74 0.2× 160 0.4× 40 2.6k
Jun Qu United States 41 3.3k 1.8× 943 1.7× 54 0.1× 364 1.0× 289 0.8× 160 5.0k
Luciana Marinelli Italy 43 3.1k 1.6× 117 0.2× 223 0.5× 407 1.1× 164 0.5× 164 5.1k
Mary F. Lopez United States 33 2.2k 1.1× 1.3k 2.3× 106 0.3× 145 0.4× 229 0.6× 86 3.6k
Michael Rehman Italy 14 3.4k 1.8× 243 0.4× 67 0.2× 229 0.6× 380 1.1× 16 4.1k

Countries citing papers authored by Kirti Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Kirti Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kirti Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Kirti Sharma. A scholar is included among the top collaborators of Kirti 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 Kirti Sharma. Kirti 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.
Collier, Philip N., Matthew M. Weiss, Dapeng Chen, et al.. (2025). Discovery of Selective and Orally Bioavailable Heterobifunctional Degraders of Cyclin-Dependent Kinase 2. Journal of Medicinal Chemistry. 68(17). 18407–18422. 1 indexed citations
2.
Sharma, Kirti, et al.. (2025). One-pot oximation-Beckmann rearrangement under mild, aqueous micellar conditions. Green Chemistry. 27(18). 5332–5339.
3.
Enerson, Bradley E., Gregg D. Cappon, Yatao Shi, et al.. (2025). Developmental toxicology profile of the IRAK4 degrader KT-474. Toxicological Sciences. 209(2).
4.
Sharma, Kirti, et al.. (2024). Heteroatom doping in bio-waste derived activated carbon for enhanced supercapacitor performance: A review. Journal of Energy Storage. 100. 113679–113679. 29 indexed citations
5.
Sharma, Kirti, Manjinder Singh, Pratibha Sharma, et al.. (2024). Design, Synthesis, and Biological Evaluation of Novel Coumarin Analogs Targeted against SARS-CoV-2. Molecules. 29(6). 1406–1406. 4 indexed citations
6.
McDonald, Alice, Rahul Karnik, Veronica A. Campbell, et al.. (2024). IRAK4 Is Overexpressed in Hidradenitis Suppurativa Skin and Correlates with Inflammatory Biomarkers. Journal of Investigative Dermatology. 145(2). 323–333.e10. 5 indexed citations
7.
Chen, Jesse, Dominico Vigil, Nan Ji, et al.. (2023). Targeted degradation of MERTK and other TAM receptor paralogs by heterobifunctional targeted protein degraders. Frontiers in Immunology. 14. 1135373–1135373. 8 indexed citations
9.
Kaur, Navjeet, Kirti Sharma, & Pooja Grewal. (2022). Synthesis of heterocycles from urea and its derivatives. Synthetic Communications. 52(19-20). 1867–1899. 2 indexed citations
10.
Slavin, Anthony, Veronica A. Campbell, Michele Mayo, et al.. (2020). 588 Identification of highly potent and selective Interleukin-1 receptor associated kinase 4 (IRAK4) degraders for the treatment of hidradenitis suppurativa. Journal of Investigative Dermatology. 140(7). S80–S80. 1 indexed citations
11.
Sharma, Kirti & Ashutosh Mishra. (2020). Prediction of Parkinson's Disease Using Machine Learning Techniques. SSRN Electronic Journal. 5 indexed citations
12.
Walker, Duncan, Michele Mayo, Christine R. Klaus, et al.. (2020). Ktx-120, a Novel Irakimid Degrader of IRAK4 and IMiD Substrates Shows Preferential Activity and Induces Regressions in MYD88-Mutant DLBCL CDX and PDX Models. Blood. 136(Supplement 1). 41–41. 4 indexed citations
13.
Liu, Jeffrey J., Kirti Sharma, Luca Zangrandi, et al.. (2018). In vivo brain GPCR signaling elucidated by phosphoproteomics. Science. 360(6395). 98 indexed citations
14.
Sharma, Kirti, et al.. (2018). A pyrene formulation for fluorometric visualization of latent fingermarks. Methods and Applications in Fluorescence. 6(3). 35004–35004. 9 indexed citations
15.
Zeigerer, Anja, Roman L. Bogorad, Kirti Sharma, et al.. (2015). Regulation of Liver Metabolism by the Endosomal GTPase Rab5. Cell Reports. 11(6). 884–892. 42 indexed citations
16.
Sharma, Kirti, Sebastian Schmitt, Caroline G. Bergner, et al.. (2015). Cell type– and brain region–resolved mouse brain proteome. Nature Neuroscience. 18(12). 1819–1831. 557 indexed citations breakdown →
17.
Sharma, Kirti, Christoph K. Weber, Michaela Bairlein, et al.. (2009). Proteomics strategy for quantitative protein interaction profiling in cell extracts. Nature Methods. 6(10). 741–744. 104 indexed citations
18.
Cheburkin, Yu. V., Kirti Sharma, László Őrfi, et al.. (2008). AXL Is a Potential Target for Therapeutic Intervention in Breast Cancer Progression. Cancer Research. 68(6). 1905–1915. 170 indexed citations
19.
Islam, Sumaiya, et al.. (2007). Knowledge Engineering for an Expert System on Wheat Crop Management.. Indian International Conference on Artificial Intelligence. 6(4). 1636–1647. 1 indexed citations
20.
Agnihotri, N.P., et al.. (1998). Bioefficacy and Residue of Imidacloprid in Cotton. Pesticide Research Journal. 10(2). 149–154. 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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