Jaswinder Singh Maras

1.1k total citations
61 papers, 749 citations indexed

About

Jaswinder Singh Maras is a scholar working on Epidemiology, Hepatology and Pathology and Forensic Medicine. According to data from OpenAlex, Jaswinder Singh Maras has authored 61 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Epidemiology, 22 papers in Hepatology and 14 papers in Pathology and Forensic Medicine. Recurrent topics in Jaswinder Singh Maras's work include Liver Disease Diagnosis and Treatment (33 papers), Liver Disease and Transplantation (15 papers) and Alcohol Consumption and Health Effects (14 papers). Jaswinder Singh Maras is often cited by papers focused on Liver Disease Diagnosis and Treatment (33 papers), Liver Disease and Transplantation (15 papers) and Alcohol Consumption and Health Effects (14 papers). Jaswinder Singh Maras collaborates with scholars based in India, France and United States. Jaswinder Singh Maras's co-authors include Shiv Kumar Sarin, Rakhi Maiwall, Shvetank Sharma, Sukanta Das, Rakesh Kumar Jagdish, Archana Rastogi, Nirupama Trehanpati, Chhagan Bihari, Saggere Muralikrishna Shasthry and Sukriti Sukriti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hepatology and Scientific Reports.

In The Last Decade

Jaswinder Singh Maras

56 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaswinder Singh Maras India 15 366 248 239 112 104 61 749
Eszter Trojnár United States 11 234 0.6× 142 0.6× 164 0.7× 80 0.7× 118 1.1× 16 647
Shunichi Matsuoka Japan 12 434 1.2× 305 1.2× 216 0.9× 30 0.3× 63 0.6× 42 799
Nirupama Trehanpati India 15 618 1.7× 635 2.6× 214 0.9× 113 1.0× 198 1.9× 27 1.1k
Pan Zhao China 18 373 1.0× 274 1.1× 438 1.8× 46 0.4× 73 0.7× 64 1.1k
Hiroaki Yamagami Japan 12 425 1.2× 297 1.2× 104 0.4× 45 0.4× 72 0.7× 44 680
Fernando Magdaleno Spain 14 363 1.0× 256 1.0× 161 0.7× 94 0.8× 105 1.0× 30 763
Seiichi Mawatari Japan 16 383 1.0× 233 0.9× 145 0.6× 84 0.8× 115 1.1× 49 731
Yanhang Gao China 14 643 1.8× 344 1.4× 352 1.5× 306 2.7× 71 0.7× 37 1.1k
Jihua Shi China 17 143 0.4× 199 0.8× 328 1.4× 57 0.5× 214 2.1× 74 785
Po–Sung Chu Japan 15 442 1.2× 343 1.4× 154 0.6× 48 0.4× 106 1.0× 42 825

Countries citing papers authored by Jaswinder Singh Maras

Since Specialization
Citations

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

Fields of papers citing papers by Jaswinder Singh Maras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaswinder Singh Maras. 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 Jaswinder Singh Maras. The network helps show where Jaswinder Singh Maras may publish in the future.

Co-authorship network of co-authors of Jaswinder Singh Maras

This figure shows the co-authorship network connecting the top 25 collaborators of Jaswinder Singh Maras. A scholar is included among the top collaborators of Jaswinder Singh Maras 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 Jaswinder Singh Maras. Jaswinder Singh Maras 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
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Maras, Jaswinder Singh, et al.. (2025). Immune-metabolic shifts in acute liver failure caused by HEV infection during pregnancy and their association with obstetric outcomes. Hepatology Communications. 9(2). 1 indexed citations
3.
Vyas, Ashish Kumar, Ravinder Singh, Jaswinder Singh Maras, et al.. (2024). Modulation of CD8+T cells, NK cells and Th1cytokines by metabolic milieu in decline of HBV-viremia in pregnant women treated with tenofovir-disoproxil from second trimester of pregnancy. Journal of Reproductive Immunology. 162. 104208–104208. 1 indexed citations
4.
Mathew, Babu, et al.. (2024). Bile molecular landscape provides pathological insight and classifies signatures predictive of carcinoma of the gall bladder. SHILAP Revista de lepidopterología. 32(4). 200904–200904.
5.
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Sharma, Neha, Manisha Yadav, Y. Magar, et al.. (2024). Plasma lipidomics and fungal peptide-based community analysis identifies distinct signatures for early mortality in acute liver failure. Clinical and Molecular Hepatology. 31(4). 1233–1251. 1 indexed citations
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Yadav, Manisha, et al.. (2024). Comparative metabolome analysis reveals higher potential of haemoperfusion adsorption in providing favourable outcome in ACLF patients. Liver International. 44(5). 1189–1201. 6 indexed citations
9.
Yadav, Manisha, et al.. (2023). Biomolecular map of albumin identifies signatures of severity and early mortality in acute liver failure. Journal of Hepatology. 79(3). 677–691. 6 indexed citations
10.
Singh, Ravinder, Maryam Javed, Pratibha Kale, et al.. (2023). Metabolic alterations unravel the maternofetal immune responses with disease severity in pregnant women infected with SARS‐CoV‐2. Journal of Medical Virology. 95(12). e29257–e29257. 4 indexed citations
11.
Yadav, Manisha, et al.. (2022). Bile multi‐omics analysis classifies lipid species and microbial peptides predictive of carcinoma of gallbladder. Hepatology. 76(4). 920–935. 23 indexed citations
12.
Raja, Ramalingam Karthik, et al.. (2022). Downregulation of gamma subunit of TCP1 chaperonin of Leishmania donovani modulates extracellular vesicles-mediated macrophage microbicidal function. Microbial Pathogenesis. 169. 105616–105616. 2 indexed citations
13.
Jagdish, Rakesh Kumar, Jaswinder Singh Maras, & Shiv Kumar Sarin. (2021). Albumin in Advanced Liver Diseases: The Good and Bad of a Drug!. Hepatology. 74(5). 2848–2862. 68 indexed citations
14.
Yadav, Manisha, et al.. (2021). Global metabolome profiling of COVID-19 respiratory specimen using high-resolution mass spectrometry (HRMS). STAR Protocols. 3(1). 101051–101051. 8 indexed citations
15.
Maras, Jaswinder Singh, et al.. (2021). Multi-omics analysis of respiratory specimen characterizes baseline molecular determinants associated with SARS-CoV-2 outcome. iScience. 24(8). 102823–102823. 27 indexed citations
16.
Das, Sukanta, Ashish Kumar Vyas, Meenu Bajpai, et al.. (2019). Hyperoxidized Albumin Modulates Platelets and Promotes Inflammation Through CD36 Receptor in Severe Alcoholic Hepatitis. Hepatology Communications. 4(1). 50–65. 18 indexed citations
17.
Maras, Jaswinder Singh, et al.. (2019). Dysregulated Lipid Transport Proteins Correlate With Pathogenesis and Outcome in Severe Alcoholic Hepatitis. Hepatology Communications. 3(12). 1598–1625. 8 indexed citations
18.
Maras, Jaswinder Singh, Sukanta Das, Shvetank Sharma, et al.. (2018). Baseline urine metabolic phenotype in patients with severe alcoholic hepatitis and its association with outcome. Hepatology Communications. 2(6). 628–643. 9 indexed citations
19.
Sukriti, Sukriti, Manish C. Choudhary, Jaswinder Singh Maras, et al.. (2018). Extracellular vesicles from hepatitis B patients serve as reservoir of hepatitis B virus DNA. Journal of Viral Hepatitis. 26(1). 211–214. 23 indexed citations
20.
Sharma, Shvetank, Jaswinder Singh Maras, Sukanta Das, et al.. (2017). Pre-therapy liver transcriptome landscape in Indian and French patients with severe alcoholic hepatitis and steroid responsiveness. Scientific Reports. 7(1). 6816–6816. 18 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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