Shubhi Pandey

1.1k total citations
20 papers, 660 citations indexed

About

Shubhi Pandey is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shubhi Pandey has authored 20 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shubhi Pandey's work include Receptor Mechanisms and Signaling (15 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Neuropeptides and Animal Physiology (7 papers). Shubhi Pandey is often cited by papers focused on Receptor Mechanisms and Signaling (15 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Neuropeptides and Animal Physiology (7 papers). Shubhi Pandey collaborates with scholars based in India, United States and Japan. Shubhi Pandey's co-authors include Arun K. Shukla, Madhu Chaturvedi, Hemlata Dwivedi‐Agnihotri, Jagannath Maharana, Trent M. Woodruff, Mithu Baidya, Xaria X. Li, Yang Lee, Andrew G. W. Leslie and Christopher G. Tate and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Shubhi Pandey

19 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shubhi Pandey India 13 548 316 122 105 104 20 660
Madhu Chaturvedi India 12 534 1.0× 323 1.0× 70 0.6× 96 0.9× 95 0.9× 17 597
Punita Kumari India 12 751 1.4× 426 1.3× 84 0.7× 200 1.9× 92 0.9× 16 844
Hemlata Dwivedi‐Agnihotri India 11 524 1.0× 324 1.0× 56 0.5× 85 0.8× 101 1.0× 18 587
Jagannath Maharana India 12 353 0.6× 196 0.6× 105 0.9× 62 0.6× 58 0.6× 13 445
Cuiying Yi China 11 653 1.2× 304 1.0× 93 0.8× 112 1.1× 60 0.6× 16 826
Eshan Ghosh India 10 602 1.1× 351 1.1× 50 0.4× 170 1.6× 74 0.7× 11 651
Hee Ryung Kim South Korea 10 458 0.8× 218 0.7× 47 0.4× 63 0.6× 87 0.8× 19 527
Markus Koglin Germany 17 826 1.5× 352 1.1× 149 1.2× 283 2.7× 56 0.5× 22 1.1k
Bryan Clemons United States 7 751 1.4× 233 0.7× 104 0.9× 75 0.7× 21 0.2× 13 999
Seunghyi Kook United States 20 856 1.6× 393 1.2× 70 0.6× 41 0.4× 44 0.4× 38 1.2k

Countries citing papers authored by Shubhi Pandey

Since Specialization
Citations

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

Fields of papers citing papers by Shubhi Pandey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubhi Pandey

This figure shows the co-authorship network connecting the top 25 collaborators of Shubhi Pandey. A scholar is included among the top collaborators of Shubhi Pandey 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 Shubhi Pandey. Shubhi Pandey 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.
Li, Xiaona, Nathan D. Winters, Shubhi Pandey, et al.. (2025). Homeostatic scaling of dynorphin signaling by a non-canonical opioid receptor. Nature Communications. 16(1). 6786–6786. 1 indexed citations
2.
Pandey, Shubhi, Tri Q. Nguyen, & Srijan Lal Shrestha. (2024). PO-05-095 MULTIPOLAR ABLATION FOR VENTRICULAR TACHYCARDIA ORIGINATING FROM THE LEFT VENTRICULAR SUMMIT. Heart Rhythm. 21(5). S615–S615.
3.
Pandey, Shubhi, et al.. (2024). Onco-Hypertension in Patients with Kidney Disease. American Journal of Nephrology. 1–14. 1 indexed citations
4.
Pandey, Shubhi, et al.. (2023). Management of hypertension in patients with cancer: challenges and considerations. Clinical Kidney Journal. 16(12). 2336–2348. 10 indexed citations
5.
Sarma, Parishmita, Shubhi Pandey, Hemlata Dwivedi‐Agnihotri, et al.. (2023). Molecular insights into intrinsic transducer-coupling bias in the CXCR4-CXCR7 system. Nature Communications. 14(1). 4808–4808. 19 indexed citations
6.
Baidya, Mithu, Madhu Chaturvedi, Hemlata Dwivedi‐Agnihotri, et al.. (2022). Allosteric modulation of GPCR-induced β-arrestin trafficking and signaling by a synthetic intrabody. Nature Communications. 13(1). 4634–4634. 17 indexed citations
7.
Shiraishi, Yutaro, Yutaka Kofuku, Takumi Ueda, et al.. (2021). Biphasic activation of β-arrestin 1 upon interaction with a GPCR revealed by methyl-TROSY NMR. Nature Communications. 12(1). 7158–7158. 21 indexed citations
8.
Pandey, Shubhi, et al.. (2021). ACUTE MYOCARDIAL INFARCTION AND CARDIAC THROMBOSIS DUE TO DISSEMINATED INTRAVASCULAR COAGULATION IN SEVERE COVID19. Journal of the American College of Cardiology. 77(18). 2036–2036. 1 indexed citations
9.
Pandey, Shubhi, et al.. (2021). Oculomotor Diplopia: Looking Beyond Diabetic Oculopathy as a Cause. The American Journal of Medicine. 135(1). e16–e17. 1 indexed citations
10.
Pandey, Shubhi, Punita Kumari, Mithu Baidya, et al.. (2021). Intrinsic bias at non-canonical, β-arrestin-coupled seven transmembrane receptors. Molecular Cell. 81(22). 4605–4621.e11. 62 indexed citations
11.
Dwivedi‐Agnihotri, Hemlata, Madhu Chaturvedi, Mithu Baidya, et al.. (2020). Distinct phosphorylation sites in a prototypical GPCR differently orchestrate β-arrestin interaction, trafficking, and signaling. Science Advances. 6(37). 57 indexed citations
12.
Baidya, Mithu, Punita Kumari, Hemlata Dwivedi‐Agnihotri, et al.. (2020). Genetically encoded intrabody sensors report the interaction and trafficking of β-arrestin 1 upon activation of G-protein–coupled receptors. Journal of Biological Chemistry. 295(30). 10153–10167. 22 indexed citations
13.
Lee, Yang, Tony Warne, Rony Nehmé, et al.. (2020). Molecular basis of β-arrestin coupling to formoterol-bound β1-adrenoceptor. Nature. 583(7818). 862–866. 191 indexed citations
14.
Baidya, Mithu, Punita Kumari, Hemlata Dwivedi‐Agnihotri, et al.. (2020). Key phosphorylation sites in GPCR s orchestrate the contribution of β‐Arrestin 1 in ERK 1/2 activation. EMBO Reports. 21(9). e49886–e49886. 43 indexed citations
15.
Pandey, Shubhi, Jagannath Maharana, Xaria X. Li, Trent M. Woodruff, & Arun K. Shukla. (2020). Emerging Insights into the Structure and Function of Complement C5a Receptors. Trends in Biochemical Sciences. 45(8). 693–705. 67 indexed citations
16.
Pandey, Shubhi, Xaria X. Li, Ashish Srivastava, et al.. (2019). Partial ligand-receptor engagement yields functional bias at the human complement receptor, C5aR1. Journal of Biological Chemistry. 294(24). 9416–9429. 29 indexed citations
17.
Ghosh, Eshan, Hemlata Dwivedi, Mithu Baidya, et al.. (2019). Conformational Sensors and Domain Swapping Reveal Structural and Functional Differences between β-Arrestin Isoforms. Cell Reports. 28(13). 3287–3299.e6. 42 indexed citations
18.
Safdari, Haaris Ahsan, Shubhi Pandey, Arun K. Shukla, & Somnath Dutta. (2018). Illuminating GPCR Signaling by Cryo-EM. Trends in Cell Biology. 28(8). 591–594. 42 indexed citations
19.
Pandey, Shubhi, D. Roy, & Arun K. Shukla. (2018). Measuring surface expression and endocytosis of GPCRs using whole-cell ELISA. Methods in cell biology. 149. 131–140. 24 indexed citations
20.
Pandey, Shubhi, et al.. (2017). Biased Opioid Receptor Ligands: Gain without Pain. Trends in Endocrinology and Metabolism. 28(4). 247–249. 10 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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