Sinjini Sikdar

718 total citations
19 papers, 69 citations indexed

About

Sinjini Sikdar is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Sinjini Sikdar has authored 19 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Sinjini Sikdar's work include Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (4 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). Sinjini Sikdar is often cited by papers focused on Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (4 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). Sinjini Sikdar collaborates with scholars based in United States, Taiwan and India. Sinjini Sikdar's co-authors include Susmita Datta, Hueiwang Anna Jeng, Chih‐Hong Pan, Guo‐Ping Chang‐Chien, Yeou‐Lih Huang, Thanh T. Hoang, Stephanie J. London, Marie Richards, Laura E. Beane Freeman and Mu‐Rong Chao and has published in prestigious journals such as PLoS ONE, Thorax and BMC Bioinformatics.

In The Last Decade

Sinjini Sikdar

16 papers receiving 66 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sinjini Sikdar United States 5 31 17 12 9 8 19 69
Davida Mirra Italy 7 25 0.8× 25 1.5× 21 1.8× 14 1.6× 3 0.4× 14 88
Minsun Song United States 7 69 2.2× 4 0.2× 7 0.6× 4 0.4× 11 159
Brad E. Damratoski United States 4 43 1.4× 14 0.8× 14 1.2× 28 3.1× 10 1.3× 4 86
Jiani Sun China 4 28 0.9× 5 0.3× 18 1.5× 4 0.4× 14 1.8× 7 65
Jee Yeon Heo South Korea 3 50 1.6× 7 0.4× 9 0.8× 8 0.9× 2 0.3× 4 83
Arkom Chaiwerawattana Thailand 5 28 0.9× 9 0.5× 20 1.7× 20 2.2× 2 0.3× 8 116
Siebe Loontiens Belgium 5 19 0.6× 6 0.4× 6 0.5× 3 0.3× 10 39
Diana I. Sánchez Spain 4 22 0.7× 12 0.7× 8 0.7× 11 1.2× 1 0.1× 6 78
Fernando Pérez‐Villatoro Mexico 8 63 2.0× 3 0.2× 14 1.2× 4 0.4× 5 0.6× 11 106
Qiaofa Lu China 4 46 1.5× 5 0.3× 16 1.3× 14 1.6× 16 2.0× 10 82

Countries citing papers authored by Sinjini Sikdar

Since Specialization
Citations

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

Fields of papers citing papers by Sinjini Sikdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sinjini Sikdar

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

All Works

19 of 19 papers shown
1.
Chattopadhyay, Abhijnan, Annah B. Wyss, Julie D. White, et al.. (2024). Plasma protein signatures of adult asthma. Allergy. 79(3). 643–655. 4 indexed citations
2.
3.
Sikdar, Sinjini, et al.. (2023). Populational Variations of Cheiloscopy Patterns: A cross-sectional observation pilot study.. PubMed. 97(5). 196–204. 1 indexed citations
4.
Wyss, Annah B., Thanh T. Hoang, Hilde Kristin Vindenes, et al.. (2022). Early-life farm exposures and eczema among adults in the Agricultural Lung Health Study. Journal of Allergy and Clinical Immunology Global. 1(4). 248–256. 1 indexed citations
5.
Sikdar, Sinjini. (2022). Robust meta-analysis for large-scale genomic experiments based on an empirical approach. BMC Medical Research Methodology. 22(1). 43–43. 1 indexed citations
6.
Jeng, Hueiwang Anna, Sinjini Sikdar, Chih‐Hong Pan, et al.. (2022). Mixture analysis on associations between semen quality and sperm DNA integrity and occupational exposure to polycyclic aromatic hydrocarbons. Archives of Environmental & Occupational Health. 78(1). 14–27. 5 indexed citations
7.
Jeng, Hueiwang Anna, et al.. (2022). Mixture analysis of associations between exposure to low levels of multiple metals and semen quality and sperm DNA integrity. Journal of Environmental Science and Health Part A. 57(4). 318–326. 6 indexed citations
8.
Sikdar, Sinjini, Annah B. Wyss, Mi Kyeong Lee, et al.. (2021). Interaction between Genetic Risk Scores for reduced pulmonary function and smoking, asthma and endotoxin. Thorax. 76(12). 1219–1226. 7 indexed citations
9.
Jeng, Hueiwang Anna & Sinjini Sikdar. (2021). Mixture Analyses on Polycyclic Aromatic Hydrocarbons: An Example Using Semen Quality Biomarkers and Bayesian Kernel Machine Regression. Polycyclic aromatic compounds. 42(10). 7557–7568.
10.
Jeng, Hueiwang Anna, Sinjini Sikdar, Chih‐Hong Pan, & Guo‐Ping Chang‐Chien. (2021). Mixture Analysis of Associations between Occupational Exposure to Polycyclic Aromatic Hydrocarbons and Sperm Oxidative DNA Damage. Annals of Work Exposures and Health. 66(2). 203–215. 3 indexed citations
11.
Sikdar, Sinjini, Roby Joehanes, Bonnie R. Joubert, & Stephanie J. London. (2019). Comparison of smoking related DNA methylation in newborns from maternal smoking exposure in pregnancy, and in adults from personal smoking. Environmental Epidemiology. 3(Supplement 1). 249–250. 1 indexed citations
12.
Mitra, Riten, Ryan Gill, Sinjini Sikdar, & Susmita Datta. (2018). Bayesian hierarchical model for protein identifications. Journal of Applied Statistics. 46(1). 30–46. 1 indexed citations
13.
Sikdar, Sinjini, et al.. (2017). EAMA: Empirically adjusted meta-analysis for large-scale simultaneous hypothesis testing in genomic experiments. PLoS ONE. 12(10). e0187287–e0187287. 3 indexed citations
14.
Sikdar, Sinjini & Susmita Datta. (2017). A novel statistical approach for identification of the master regulator transcription factor. BMC Bioinformatics. 18(1). 79–79. 21 indexed citations
15.
Sikdar, Sinjini, Somnath Datta, & Susmita Datta. (2016). Exploring the importance of cancer pathways by meta-analysis of differential protein expression networks in three different cancers. Biology Direct. 11(1). 1 indexed citations
16.
Sikdar, Sinjini, Ryan Gill, & Susmita Datta. (2015). Improving protein identification from tandem mass spectrometry data by one-step methods and integrating data from other platforms. Briefings in Bioinformatics. 17(2). 262–269.
17.
Sikdar, Sinjini, et al.. (2014). Differences in protein-protein association networks for lung adenocarcinoma: A retrospective study. Bioinformation. 10(10). 647–651. 1 indexed citations
18.
19.
Sikdar, Sinjini, et al.. (2005). Successful pregnancy in untreated limited Wegener's granulomatosis.. PubMed. 60(4). 492–4. 12 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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