Jay Siddharth

689 total citations
11 papers, 532 citations indexed

About

Jay Siddharth is a scholar working on Molecular Biology, Physiology and Ecology. According to data from OpenAlex, Jay Siddharth has authored 11 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Ecology. Recurrent topics in Jay Siddharth's work include Gut microbiota and health (8 papers), Diet and metabolism studies (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Jay Siddharth is often cited by papers focused on Gut microbiota and health (8 papers), Diet and metabolism studies (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Jay Siddharth collaborates with scholars based in Switzerland, India and United Kingdom. Jay Siddharth's co-authors include Yogesh S. Shouche, T. Prem Anand, Upal Roy, Siddhartha P. Sarma, Scott J. Parkinson, Anirikh Chakrabarti, Delphine Morin‐Rivron, Mojgan Masoodi, Jérôme N. Feige and Alice Pannérec and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

In The Last Decade

Jay Siddharth

11 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay Siddharth Switzerland 9 292 154 104 82 74 11 532
Chaofang Zhong China 13 362 1.2× 70 0.5× 21 0.2× 34 0.4× 103 1.4× 28 584
Mauro Napolitano Italy 13 360 1.2× 67 0.4× 17 0.2× 39 0.5× 55 0.7× 16 955
Se‐Young Kim South Korea 13 308 1.1× 46 0.3× 41 0.4× 24 0.3× 45 0.6× 26 432
Bixia Wang China 11 182 0.6× 58 0.4× 35 0.3× 52 0.6× 23 0.3× 41 414
Jérôme Molina France 7 369 1.3× 130 0.8× 13 0.1× 18 0.2× 37 0.5× 10 620
T. Tokunaga Japan 14 261 0.9× 97 0.6× 93 0.9× 12 0.1× 28 0.4× 46 1.3k
Marjo Nikulin Finland 13 80 0.3× 48 0.3× 30 0.3× 67 0.8× 15 0.2× 18 1.0k
Huang Tang China 5 615 2.1× 344 2.2× 19 0.2× 17 0.2× 88 1.2× 9 840

Countries citing papers authored by Jay Siddharth

Since Specialization
Citations

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

Fields of papers citing papers by Jay Siddharth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Siddharth

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

All Works

11 of 11 papers shown
1.
Chakrabarti, Anirikh, Mathieu Membrez, Delphine Morin‐Rivron, et al.. (2017). Transcriptomics-driven lipidomics (TDL) identifies the microbiome-regulated targets of ileal lipid metabolism. npj Systems Biology and Applications. 3(1). 33–33. 11 indexed citations
2.
Siddharth, Jay, Anirikh Chakrabarti, Alice Pannérec, et al.. (2017). Aging and sarcopenia associate with specific interactions between gut microbes, serum biomarkers and host physiology in rats. Aging. 9(7). 1698–1720. 104 indexed citations
3.
Siddharth, Jay, Mathieu Membrez, Anirikh Chakrabarti, et al.. (2017). Complete Genome Sequence of Escherichia coli Strain M8, Isolated from ob/ob Mice. Genome Announcements. 5(22). 1 indexed citations
4.
Rabot, Sylvie, Mathieu Membrez, Bernard Berger, et al.. (2016). High fat diet drives obesity regardless the composition of gut microbiota in mice. Scientific Reports. 6(1). 32484–32484. 96 indexed citations
5.
Chakrabarti, Anirikh, Jay Siddharth, Christian L. Lauber, et al.. (2016). Resolving microbial membership using Abundance and Variability In Taxonomy (‘AVIT ). Scientific Reports. 6(1). 31655–31655. 2 indexed citations
6.
Montoliu, Ivan, Ornella Cominetti, Claire L. Boulangé, et al.. (2016). Modeling Longitudinal Metabonomics and Microbiota Interactions in C57BL/6 Mice Fed a High Fat Diet. Analytical Chemistry. 88(15). 7617–7626. 10 indexed citations
7.
8.
Smith, Philip, Jay Siddharth, Matt Butler, et al.. (2012). Host Genetics and Environmental Factors Regulate Ecological Succession of the Mouse Colon Tissue-Associated Microbiota. PLoS ONE. 7(1). e30273–e30273. 34 indexed citations
9.
Siddharth, Jay, et al.. (2012). Molecular typing of fecal eukaryotic microbiota of human infants and their respective mothers. Journal of Biosciences. 37(2). 221–226. 41 indexed citations
10.
Wani, Aijaz A., Venkata Prasad Surakasi, Jay Siddharth, et al.. (2006). Molecular analyses of microbial diversity associated with the Lonar soda lake in India: An impact crater in a basalt area. Research in Microbiology. 157(10). 928–937. 74 indexed citations
11.
Anand, T. Prem, et al.. (2005). Antimicrobial activity of marine bacteria associated with sponges from the waters off the coast of South East India. Microbiological Research. 161(3). 252–262. 146 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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