Ben S. Sidders

2.3k total citations
29 papers, 1.6k citations indexed

About

Ben S. Sidders is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Ben S. Sidders has authored 29 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Epidemiology and 6 papers in Infectious Diseases. Recurrent topics in Ben S. Sidders's work include Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (6 papers) and Computational Drug Discovery Methods (5 papers). Ben S. Sidders is often cited by papers focused on Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (6 papers) and Computational Drug Discovery Methods (5 papers). Ben S. Sidders collaborates with scholars based in United Kingdom, United States and Singapore. Ben S. Sidders's co-authors include Lee W. Riley, Daniel Ziemek, Neil G. Stoker, Nicola Casali, Lisa A. Morici, Sharon L. Kendall, Nobuyuki Shimono, David C. Pryde, Sabine Ehrt and Alan D. Brown and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Ben S. Sidders

29 papers receiving 1.5k citations

Peers

Ben S. Sidders

EPIDE

IMMUN

PHYSI

Yuhua Ji China

Cheng Liu China

Shyamal K. Goswami India

Roberto Rivabene Italy

Xuefei Gao China

Dirk Roymans Belgium

Aditi Singh India

Michael L. Pinn United States

Ravikanth Nanduri India

Sylvère Durand France

Yuhua Ji China

Ben S. Sidders

924 ×1.1

179 ×0.3

315 ×0.7

EPIDE

121 ×0.7

IMMUN

128 ×0.8

PHYSI

Citations per year, relative to Ben S. Sidders Ben S. Sidders (= 1×) peers Yuhua Ji

Countries citing papers authored by Ben S. Sidders

Since Specialization

Citations

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

Fields of papers citing papers by Ben S. Sidders

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben S. Sidders. 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 Ben S. Sidders. The network helps show where Ben S. Sidders may publish in the future.

Co-authorship network of co-authors of Ben S. Sidders

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

All Works

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20 of 20 papers shown

Balázs, R., A Bartha, Jerome T. Mettetal, et al.. (2024). Network-driven cancer cell avatars for combination discovery and biomarker identification for DNA damage response inhibitors. npj Systems Biology and Applications. 10(1). 68–68. 3 indexed citations

Secrier, Maria, Lara McGrath, Felicia Ng, et al.. (2023). Immune Cell Abundance and T-cell Receptor Landscapes Suggest New Patient Stratification Strategies in Head and Neck Squamous Cell Carcinoma. Cancer Research Communications. 3(10). 2133–2145. 7 indexed citations

Wilson, Matthew E., Matthew Sung, Elaine M. Hurt, et al.. (2023). Pan-Cancer Proteomics Analysis to Identify Tumor-Enriched and Highly Expressed Cell Surface Antigens as Potential Targets for Cancer Therapeutics. Molecular & Cellular Proteomics. 22(9). 100626–100626. 4 indexed citations

Lim, Emerson A., Johanna C. Bendell, Gerald S. Falchook, et al.. (2022). Phase Ia/b, Open-Label, Multicenter Study of AZD4635 (an Adenosine A2A Receptor Antagonist) as Monotherapy or Combined with Durvalumab, in Patients with Solid Tumors. Clinical Cancer Research. 28(22). 4871–4884. 55 indexed citations

Vitsios, Dimitrios, Ryan S. Dhindsa, Dorota Matelska, et al.. (2022). Cancer-driving mutations are enriched in genic regions intolerant to germline variation. Science Advances. 8(34). eabo6371–eabo6371. 6 indexed citations

Israelsson, Elisabeth, B. Angermann, Ben S. Sidders, et al.. (2018). Differential gene expression in human tissue resident regulatory T cells from lung, colon, and blood. Oncotarget. 9(90). 36166–36184. 15 indexed citations

Sidders, Ben S., Anna Karlsson, Linda Kitching, et al.. (2018). Network-Based Drug Discovery: Coupling Network Pharmacology with Phenotypic Screening for Neuronal Excitability. Journal of Molecular Biology. 430(18). 3005–3015. 37 indexed citations

Gutteridge, Alex, et al.. (2016). Interpreting transcriptional changes using causal graphs: new methods and their practical utility on public networks. BMC Bioinformatics. 17(1). 318–318. 26 indexed citations

Sidders, Ben S., et al.. (2015). A FOXM1 Dependent Mesenchymal-Epithelial Transition in Retinal Pigment Epithelium Cells. PLoS ONE. 10(6). e0130379–e0130379. 13 indexed citations

10.

Denise, Hubert, Sterghios Moschos, Ben S. Sidders, et al.. (2014). Deep Sequencing Insights in Therapeutic shRNA Processing and siRNA Target Cleavage Precision. Molecular Therapy — Nucleic Acids. 3. e145–e145. 17 indexed citations

11.

Sidders, Ben S., Alex Gutteridge, Lee Harland, et al.. (2014). Precompetitive activity to address the biological data needs of drug discovery. Nature Reviews Drug Discovery. 13(2). 83–84. 12 indexed citations

12.

Jamieson, Daniel, Andrew Moss, Michael A. Kennedy, et al.. (2014). The pain interactome: Connecting pain-specific protein interactions. Pain. 155(11). 2243–2252. 36 indexed citations

13.

Denk, Franziska, Wenlong Huang, Ben S. Sidders, et al.. (2013). HDAC inhibitors attenuate the development of hypersensitivity in models of neuropathic pain. Pain. 154(9). 1668–1679. 133 indexed citations

14.

Chindelevitch, Leonid, Daniel Ziemek, Ahmed Enayetallah, et al.. (2012). Causal reasoning on biological networks: interpreting transcriptional changes. Bioinformatics. 28(8). 1114–1121. 104 indexed citations

15.

Sidders, Ben S., Stefan Wieland, Jin Zhong, et al.. (2011). An Integrated Transcriptomic and Meta-Analysis of Hepatoma Cells Reveals Factors That Influence Susceptibility to HCV Infection. PLoS ONE. 6(10). e25584–e25584. 17 indexed citations

16.

Kendall, Sharon L., Nicole J. Moreland, Sudagar S. Gurcha, et al.. (2007). A highly conserved transcriptional repressor controls a large regulon involved in lipid degradation in Mycobacterium smegmatis and Mycobacterium tuberculosis. Molecular Microbiology. 65(3). 684–699. 175 indexed citations

17.

Sidders, Ben S., Lisa A. Morici, J. Rachel Reader, et al.. (2007). Enhanced mortality despite control of lung infection in mice aerogenically infected with a Mycobacterium tuberculosis mce1 operon mutant. Microbes and Infection. 9(11). 1285–1290. 26 indexed citations

18.

Sidders, Ben S., Sharon L. Kendall, Joanna Bacon, et al.. (2007). Quantification of global transcription patterns in prokaryotes using spotted microarrays. Genome biology. 8(12). R265–R265. 29 indexed citations

19.

Senaratne, Ryan H., Aruna Dharshan De Silva, Spencer J. Williams, et al.. (2006). 5′‐Adenosinephosphosulphate reductase (CysH) protects Mycobacterium tuberculosis against free radicals during chronic infection phase in mice. Molecular Microbiology. 59(6). 1744–1753. 94 indexed citations

20.

Shimono, Nobuyuki, Lisa A. Morici, Nicola Casali, et al.. (2003). Hypervirulent mutant of Mycobacterium tuberculosis resulting from disruption of the mce1 operon. Proceedings of the National Academy of Sciences. 100(26). 15918–15923. 174 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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