Milan Surjit

2.9k total citations
43 papers, 2.1k citations indexed

About

Milan Surjit is a scholar working on Hepatology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Milan Surjit has authored 43 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hepatology, 20 papers in Infectious Diseases and 11 papers in Epidemiology. Recurrent topics in Milan Surjit's work include Hepatitis Viruses Studies and Epidemiology (21 papers), Viral gastroenteritis research and epidemiology (12 papers) and Hepatitis C virus research (11 papers). Milan Surjit is often cited by papers focused on Hepatitis Viruses Studies and Epidemiology (21 papers), Viral gastroenteritis research and epidemiology (12 papers) and Hepatitis C virus research (11 papers). Milan Surjit collaborates with scholars based in India, Singapore and Thailand. Milan Surjit's co-authors include Sunil K. Lal, Vincent Chow, Bo Liu, Shahid Jameel, C. T. Ranjith-Kumar, Atish Mukherji, Mei Li, Pierre Chambon, Tao Ye and Daniel Metzger and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Milan Surjit

39 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milan Surjit India 23 1.1k 596 509 297 261 43 2.1k
Anna Albecka United Kingdom 18 495 0.5× 354 0.6× 395 0.8× 211 0.7× 88 0.3× 23 1.6k
Laurent Fischer France 25 266 0.2× 371 0.6× 547 1.1× 308 1.0× 110 0.4× 44 2.1k
Suresh D. Sharma United States 28 310 0.3× 501 0.8× 595 1.2× 586 2.0× 79 0.3× 52 2.5k
Xinrong Tao China 22 1.3k 1.2× 97 0.2× 409 0.8× 258 0.9× 573 2.2× 57 2.0k
Claire F. Evans United States 23 364 0.3× 107 0.2× 397 0.8× 871 2.9× 88 0.3× 46 1.8k
Yeou‐Guang Tsay Taiwan 25 234 0.2× 138 0.2× 971 1.9× 147 0.5× 60 0.2× 56 1.8k
Fumihiko Yasui Japan 16 428 0.4× 144 0.2× 299 0.6× 308 1.0× 109 0.4× 37 1.1k
Kyongmin Kim South Korea 24 295 0.3× 149 0.3× 830 1.6× 277 0.9× 49 0.2× 76 1.7k
Yanhong Zhang China 19 130 0.1× 134 0.2× 621 1.2× 440 1.5× 94 0.4× 66 1.4k
Atsushi Kawaguchi Japan 35 411 0.4× 164 0.3× 1.7k 3.4× 1.3k 4.5× 88 0.3× 146 3.8k

Countries citing papers authored by Milan Surjit

Since Specialization
Citations

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

Fields of papers citing papers by Milan Surjit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Surjit

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Surjit. A scholar is included among the top collaborators of Milan Surjit 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 Milan Surjit. Milan Surjit 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.
Gupta, Nidhi, Jyoti Gupta, Mukesh Kumar Yadav, et al.. (2023). Antiviral activity of the human endogenous retrovirus‐R envelope protein against SARS‐CoV‐2. EMBO Reports. 24(7). 7 indexed citations
2.
Kumar, Bhoj, et al.. (2022). Proteomic analysis reveals USP7 as a novel regulator of palmitic acid-induced hepatocellular carcinoma cell death. Cell Death and Disease. 13(6). 563–563. 13 indexed citations
3.
Gupta, Jyoti, et al.. (2022). Antiviral Activity of Zinc Oxide Nanoparticles and Tetrapods Against the Hepatitis E and Hepatitis C Viruses. Frontiers in Microbiology. 13. 881595–881595. 45 indexed citations
4.
Gupta, Jyoti, Amit Kumar, & Milan Surjit. (2021). Production of a Hepatitis E Vaccine Candidate Using the Pichia pastoris Expression System. Methods in molecular biology. 2412. 117–141. 5 indexed citations
5.
Rizvi, Zaigham Abbas, Manas Ranjan Tripathy, Sandeep Goswami, et al.. (2021). Effect of Prophylactic Use of Intranasal Oil Formulations in the Hamster Model of COVID-19. Frontiers in Pharmacology. 12. 746729–746729. 11 indexed citations
6.
Shrivastava, Tripti, Balwant Singh, Zaigham Abbas Rizvi, et al.. (2021). Comparative Immunomodulatory Evaluation of the Receptor Binding Domain of the SARS-CoV-2 Spike Protein; a Potential Vaccine Candidate Which Imparts Potent Humoral and Th1 Type Immune Response in a Mouse Model. Frontiers in Immunology. 12. 641447–641447. 14 indexed citations
7.
Surjit, Milan, Binit Kumar Singh, Manish Soneja, et al.. (2020). Gargle lavage as a viable alternative to swab for detection of SARS-CoV-2. The Indian Journal of Medical Research. 152(1-2). 77–81. 25 indexed citations
8.
Surjit, Milan, et al.. (2020). Hepatitis E Virus ORF2 Inhibits RIG-I Mediated Interferon Response. Frontiers in Microbiology. 11. 656–656. 22 indexed citations
9.
Anang, Saumya, et al.. (2018). Zinc: A Potential Antiviral Against Hepatitis E Virus Infection?. DNA and Cell Biology. 37(7). 593–599. 23 indexed citations
10.
Anang, Saumya, et al.. (2018). Recent Advances Towards the Development of a Potent Antiviral Against the Hepatitis E Virus. Journal of Clinical and Translational Hepatology. 6(3). 1–7. 2 indexed citations
11.
Surjit, Milan, et al.. (2017). RNA Strand Displacement Assay for Hepatitis E Virus Helicase. BIO-PROTOCOL. 7(7). e2198–e2198. 2 indexed citations
12.
Subramani, Chandru, et al.. (2017). A screen for novel hepatitis C virus RdRp inhibitor identifies a broad-spectrum antiviral compound. Scientific Reports. 7(1). 5816–5816. 20 indexed citations
13.
Anang, Saumya, Chandru Subramani, Vidya Padmanabhan Nair, et al.. (2016). Identification of critical residues in Hepatitis E virus macro domain involved in its interaction with viral methyltransferase and ORF3 proteins. Scientific Reports. 6(1). 25133–25133. 24 indexed citations
14.
Nair, Vidya Padmanabhan, Saumya Anang, Chandru Subramani, et al.. (2016). Endoplasmic Reticulum Stress Induced Synthesis of a Novel Viral Factor Mediates Efficient Replication of Genotype-1 Hepatitis E Virus. PLoS Pathogens. 12(4). e1005521–e1005521. 186 indexed citations
15.
16.
Surjit, Milan & Sunil K. Lal. (2007). The SARS-CoV nucleocapsid protein: A protein with multifarious activities. Infection Genetics and Evolution. 8(4). 397–405. 125 indexed citations
17.
Surjit, Milan, et al.. (2006). Enhanced α1 Microglobulin Secretion from Hepatitis E Virus ORF3-expressing Human Hepatoma Cells Is Mediated by the Tumor Susceptibility Gene 101. Journal of Biological Chemistry. 281(12). 8135–8142. 53 indexed citations
18.
Surjit, Milan, Bo Liu, Vincent Chow, & Sunil K. Lal. (2006). The Nucleocapsid Protein of Severe Acute Respiratory Syndrome-Coronavirus Inhibits the Activity of Cyclin-Cyclin-dependent Kinase Complex and Blocks S Phase Progression in Mammalian Cells. Journal of Biological Chemistry. 281(16). 10669–10681. 164 indexed citations
19.
Surjit, Milan, Bo Liu, Purnima Kumar, Vincent Chow, & Sunil K. Lal. (2004). The nucleocapsid protein of the SARS coronavirus is capable of self-association through a C-terminal 209 amino acid interaction domain. Biochemical and Biophysical Research Communications. 317(4). 1030–1036. 101 indexed citations
20.

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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