Garima Singhal

1.7k total citations · 1 hit paper
24 papers, 1.3k citations indexed

About

Garima Singhal is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Garima Singhal has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Pharmacology. Recurrent topics in Garima Singhal's work include Fibroblast Growth Factor Research (8 papers), Epigenetics and DNA Methylation (8 papers) and Kruppel-like factors research (6 papers). Garima Singhal is often cited by papers focused on Fibroblast Growth Factor Research (8 papers), Epigenetics and DNA Methylation (8 papers) and Kruppel-like factors research (6 papers). Garima Singhal collaborates with scholars based in United States, India and Italy. Garima Singhal's co-authors include Riju Bhavesh, Ashish Ranjan Sharma, Rajendra Pal Singh, Eleftheria Maratos–Flier, Jeffrey S. Flier, Ffolliott M. Fisher, Andrew C. Adams, Moganty R. Rajeswari, Jonathan M. Dreyfuss and Imad Nasser and has published in prestigious journals such as PLoS ONE, Oncogene and Metabolism.

In The Last Decade

Garima Singhal

22 papers receiving 1.3k citations

Hit Papers

Biosynthesis of silver nanoparticles using Ocimum sanctum... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Garima Singhal United States 13 544 502 168 162 140 24 1.3k
Joydeep Das India 18 456 0.8× 446 0.9× 218 1.3× 141 0.9× 77 0.6× 39 1.6k
Mansour Alsharidah Saudi Arabia 17 294 0.5× 242 0.5× 198 1.2× 67 0.4× 53 0.4× 43 933
Sankarganesh Arunachalam India 19 448 0.8× 225 0.4× 155 0.9× 56 0.3× 39 0.3× 46 1.4k
Hongzhi Pan China 25 839 1.5× 384 0.8× 309 1.8× 91 0.6× 40 0.3× 82 1.8k
Osama Abo Alrob Jordan 10 417 0.8× 195 0.4× 71 0.4× 121 0.7× 73 0.5× 19 1.1k
Ying Chang China 18 258 0.5× 303 0.6× 43 0.3× 84 0.5× 103 0.7× 51 1.1k
Suyavaran Arumugam India 20 312 0.6× 302 0.6× 131 0.8× 36 0.2× 57 0.4× 25 968
Gowhar Shafi India 25 496 0.9× 177 0.4× 49 0.3× 93 0.6× 40 0.3× 58 1.3k
Qianqian Jiang China 23 467 0.9× 111 0.2× 85 0.5× 51 0.3× 54 0.4× 81 1.6k
Claudia von Montfort Germany 21 515 0.9× 188 0.4× 101 0.6× 60 0.4× 70 0.5× 34 1.2k

Countries citing papers authored by Garima Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Garima Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garima Singhal

This figure shows the co-authorship network connecting the top 25 collaborators of Garima Singhal. A scholar is included among the top collaborators of Garima Singhal 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 Garima Singhal. Garima Singhal 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
2.
Ma, Yong, Garima Singhal, Suzanne Chan, et al.. (2024). FGF21 protects against ischaemia reperfusion injury in normal and fatty livers. Liver International. 44(7). 1668–1679. 3 indexed citations
3.
Sandhu, Bynvant, Stephanie Tran, Garima Singhal, et al.. (2021). Global deletion of NTPDase3 protects against diet-induced obesity by increasing basal energy metabolism. Metabolism. 118. 154731–154731. 9 indexed citations
4.
Macchi, Chiara, Garima Singhal, Vicência Sales, et al.. (2019). SGLT2 inhibition reprograms systemic metabolism via FGF21-dependent and -independent mechanisms. JCI Insight. 4(5). 183 indexed citations
5.
Watanabe, Mikiko, Garima Singhal, Ffolliott M. Fisher, et al.. (2019). Liver-derived FGF21 is essential for full adaptation to ketogenic diet but does not regulate glucose homeostasis. Endocrine. 67(1). 95–108. 29 indexed citations
6.
Singhal, Garima, Suzanne Chan, Ffolliott M. Fisher, et al.. (2018). Deficiency of fibroblast growth factor 21 (FGF21) promotes hepatocellular carcinoma (HCC) in mice on a long term obesogenic diet. Molecular Metabolism. 13. 56–66. 62 indexed citations
7.
Singhal, Garima, Arpita Roy, & Navneeta Bharadvaja. (2017). In-silico study on plant determined flavonoids compounds for the synthetic medications against breast cancer growth. Journal of Ayurvedic and Herbal Medicine. 3(3). 116–121. 2 indexed citations
8.
Desai, Bhavna N., Garima Singhal, Mikiko Watanabe, et al.. (2017). Fibroblast growth factor 21 (FGF21) is robustly induced by ethanol and has a protective role in ethanol associated liver injury. Molecular Metabolism. 6(11). 1395–1406. 118 indexed citations
9.
Singhal, Garima & Sahadev Roy. (2017). A Survey on Data Clustering. 2(8). 183–183. 1 indexed citations
10.
Fisher, Ffolliott M., et al.. (2016). Elevated Serum Fibroblast Growth Factor 21 in Humans with Acute Pancreatitis. PLoS ONE. 11(11). e0164351–e0164351. 26 indexed citations
11.
Singhal, Garima, Ffolliott M. Fisher, Melissa J. Chee, et al.. (2016). Fibroblast Growth Factor 21 (FGF21) Protects against High Fat Diet Induced Inflammation and Islet Hyperplasia in Pancreas. PLoS ONE. 11(2). e0148252–e0148252. 101 indexed citations
12.
Singhal, Garima, Nicholas Douris, Alan Fish, et al.. (2016). Fibroblast growth factor 21 has no direct role in regulating fertility in female mice. Molecular Metabolism. 5(8). 690–698. 29 indexed citations
13.
Singhal, Garima, Sebastian Szpakowski, Christina Ivins Zito, et al.. (2011). Phosphoproteomic Screen Identifies Potential Therapeutic Targets in Melanoma. Molecular Cancer Research. 9(6). 801–812. 73 indexed citations
14.
Singhal, Garima, et al.. (2011). DNA triplex-mediated inhibition of MET leads to cell death and tumor regression in hepatoma. Cancer Gene Therapy. 18(7). 520–530. 20 indexed citations
15.
Singhal, Garima, et al.. (2011). Biosynthesis of silver nanoparticles using Ocimum sanctum (Tulsi) leaf extract and screening its antimicrobial activity. Journal of Nanoparticle Research. 13(7). 2981–2988. 553 indexed citations breakdown →
16.
Singhal, Garima & Moganty R. Rajeswari. (2009). Interaction of Actinomycin D with Promoter Element of c-met and Its Inhibitory Effect on the Expression of c-Met. Journal of Biomolecular Structure and Dynamics. 26(5). 625–636. 14 indexed citations
17.
Singhal, Garima & Moganty R. Rajeswari. (2009). Molecular Aspects of the Interaction of Hoechst-33258 with GC-Rich Promoter Region of c-met. DNA and Cell Biology. 29(2). 91–100. 7 indexed citations
18.
Baluchamy, Sudhakar, et al.. (2008). p300 provides a corepressor function by cooperating with YY1 and HDAC3 to repress c-Myc. Oncogene. 27(43). 5717–5728. 66 indexed citations
19.
Singhal, Garima, et al.. (1967). Studies on metallochromic indicators—IIZincon and its mercury and zinc complexes as indicators in EDTA titrations. Talanta. 14(11). 1351–1353. 7 indexed citations
20.
Singhal, Garima. (1967). Studies on metallochromic indicators—I Pyrocatecholphthalein as metallochromic indicator. Talanta. 14(9). 1127–1129. 2 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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