Shikha Sharan

807 total citations
16 papers, 665 citations indexed

About

Shikha Sharan is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Shikha Sharan has authored 16 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Cell Biology. Recurrent topics in Shikha Sharan's work include Endoplasmic Reticulum Stress and Disease (3 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer-related Molecular Pathways (3 papers). Shikha Sharan is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (3 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer-related Molecular Pathways (3 papers). Shikha Sharan collaborates with scholars based in United States, Taiwan and Netherlands. Shikha Sharan's co-authors include Esta Sterneck, Kuppusamy Balamurugan, A‐Mei Huang, Deborah K. Morrison, Tapasree Roy Sarkar, Youhong Zhang, Ju-Ming Wang, Robert M. Leighty, Miriam R. Anver and Mark Raffeld and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Shikha Sharan

16 papers receiving 664 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shikha Sharan United States 12 409 225 149 136 78 16 665
Kotohiko Kimura Japan 13 452 1.1× 161 0.7× 121 0.8× 134 1.0× 86 1.1× 22 677
Longzhen Piao China 17 450 1.1× 181 0.8× 126 0.8× 95 0.7× 40 0.5× 33 674
Stephan Geley Austria 14 634 1.6× 185 0.8× 119 0.8× 168 1.2× 63 0.8× 16 879
Paul‐Joseph Aspuria United States 13 547 1.3× 242 1.1× 197 1.3× 110 0.8× 84 1.1× 22 808
Susan M. Burlingame United States 11 418 1.0× 165 0.7× 192 1.3× 140 1.0× 83 1.1× 17 620
Iosifina P. Foskolou United Kingdom 14 388 0.9× 202 0.9× 228 1.5× 135 1.0× 47 0.6× 23 622
Colin Crean United States 13 377 0.9× 151 0.7× 104 0.7× 105 0.8× 89 1.1× 21 647
Álvaro Gutiérrez-Uzquiza Spain 14 440 1.1× 167 0.7× 101 0.7× 74 0.5× 108 1.4× 35 736
Sébastien Jauliac France 12 715 1.7× 197 0.9× 159 1.1× 180 1.3× 162 2.1× 16 981
Douglas Barrows United States 11 554 1.4× 105 0.5× 125 0.8× 157 1.2× 61 0.8× 15 760

Countries citing papers authored by Shikha Sharan

Since Specialization
Citations

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

Fields of papers citing papers by Shikha Sharan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shikha Sharan

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

All Works

16 of 16 papers shown
1.
Balamurugan, Kuppusamy, Dipak K. Poria, Savitri Krishnamurthy, et al.. (2023). Stabilization of E-cadherin adhesions by COX-2/GSK3β signaling is a targetable pathway in metastatic breast cancer. JCI Insight. 8(6). 27 indexed citations
2.
Sheshadri, Namratha, Dipak K. Poria, Shikha Sharan, et al.. (2021). PERK signaling through C/EBPδ contributes to ER stress-induced expression of immunomodulatory and tumor promoting chemokines by cancer cells. Cell Death and Disease. 12(11). 1038–1038. 30 indexed citations
3.
Poria, Dipak K., Namratha Sheshadri, Kuppusamy Balamurugan, Shikha Sharan, & Esta Sterneck. (2020). The STAT3 inhibitor Stattic acts independently of STAT3 to decrease histone acetylation and modulate gene expression. Journal of Biological Chemistry. 296. 100220–100220. 31 indexed citations
4.
Balamurugan, Kuppusamy, Daniel Mendoza-Villanueva, Shikha Sharan, et al.. (2018). C/EBPδ links IL-6 and HIF-1 signaling to promote breast cancer stem cell-associated phenotypes. Oncogene. 38(20). 3765–3780. 63 indexed citations
5.
Sheshadri, Namratha, Shikha Sharan, & Esta Sterneck. (2017). CEBPD is an early endoplasmic reticulum stress response gene implicated in breast cancer cell survival. The FASEB Journal. 31(S1). 2 indexed citations
6.
Sheshadri, Namratha, Shikha Sharan, & Esta Sterneck. (2017). Abstract 4501: CEBPD is an early endoplasmic reticulum stress response gene implicated in breast cancer cell survival. Cancer Research. 77(13_Supplement). 4501–4501. 1 indexed citations
7.
Balamurugan, Kuppusamy, Shikha Sharan, Kimberly D. Klarmann, et al.. (2013). FBXW7α attenuates inflammatory signalling by downregulating C/EBPδ and its target gene Tlr4. Nature Communications. 4(1). 1662–1662. 86 indexed citations
8.
Mendoza-Villanueva, Daniel, H. Raza Ali, Shikha Sharan, et al.. (2013). Abstract 3464: CEBPD (C/EBPδ) acts as a tumor suppressor in hormone receptor positive breast cancer cells and may serve as biomarker to predict the need for adjuvant therapy.. Cancer Research. 73(8_Supplement). 3464–3464. 1 indexed citations
9.
Sarkar, Tapasree Roy, Shikha Sharan, Jun Wang, et al.. (2011). Identification of a Src Tyrosine Kinase/SIAH2 E3 Ubiquitin Ligase Pathway That Regulates C/EBPδ Expression and Contributes to Transformation of Breast Tumor Cells. Molecular and Cellular Biology. 32(2). 320–332. 57 indexed citations
10.
Balamurugan, Kuppusamy, Ju-Ming Wang, Shikha Sharan, et al.. (2010). The tumour suppressor C/EBPδ inhibits FBXW7 expression and promotes mammary tumour metastasis. The EMBO Journal. 29(24). 4106–4117. 98 indexed citations
11.
Wang, Jun, Tapasree Roy Sarkar, Ming Zhou, et al.. (2010). CCAAT/enhancer binding protein delta (C/EBPδ, CEBPD)-mediated nuclear import of FANCD2 by IPO4 augments cellular response to DNA damage. Proceedings of the National Academy of Sciences. 107(37). 16131–16136. 38 indexed citations
12.
Pawar, Snehalata A., Tapasree Roy Sarkar, Kuppusamy Balamurugan, et al.. (2010). C/EBPδ targets cyclin D1 for proteasome-mediated degradation via induction of CDC27/APC3 expression. Proceedings of the National Academy of Sciences. 107(20). 9210–9215. 59 indexed citations
13.
Huang, A‐Mei, Martina Rudelius, Shikha Sharan, et al.. (2007). The Cebpd (C/EBPδ) Gene Is Induced by Luteinizing Hormones in Ovarian Theca and Interstitial Cells But Is Not Essential for Mouse Ovary Function. PLoS ONE. 2(12). e1334–e1334. 18 indexed citations
14.
Thangaraju, Muthusamy, Martina Rudelius, Brian Bierie, et al.. (2005). C/EBPδ is a crucial regulator of pro-apoptotic gene expression during mammary gland involution. Development. 132(21). 4675–4685. 84 indexed citations
15.
Huang, A‐Mei, et al.. (2004). Loss of CCAAT/enhancer binding protein δ promotes chromosomal instability. Oncogene. 23(8). 1549–1557. 62 indexed citations
16.
Thangaraju, Muthusamy, Shikha Sharan, & Esta Sterneck. (2004). Comparison of mammary gland involution between 129S1 and C57BL/6 inbred mouse strains: differential regulation of Bcl2a1, Trp53, Cebpb, and Cebpd expression. Oncogene. 23(14). 2548–2553. 8 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026