Tommy Carstensen

2.1k total citations
14 papers, 663 citations indexed

About

Tommy Carstensen is a scholar working on Molecular Biology, Infectious Diseases and Oncology. According to data from OpenAlex, Tommy Carstensen has authored 14 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Oncology. Recurrent topics in Tommy Carstensen's work include Protein Structure and Dynamics (5 papers), Genetic Associations and Epidemiology (3 papers) and Enzyme Structure and Function (3 papers). Tommy Carstensen is often cited by papers focused on Protein Structure and Dynamics (5 papers), Genetic Associations and Epidemiology (3 papers) and Enzyme Structure and Function (3 papers). Tommy Carstensen collaborates with scholars based in United Kingdom, United States and Uganda. Tommy Carstensen's co-authors include Jens Erik Nielsen, Damien Farrell, Nathan Baker, Yong Huang, Francesca Milletti, Irina Bezsonova, Ernest L. Mehler, Jim Warwicker, Tomasz L. Religa and Kaare Teilum and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Tommy Carstensen

14 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tommy Carstensen United Kingdom	12	373	135	123	119	73	14	663
Mojie Duan China	15	435 1.2×	78 0.6×	132 1.1×	79 0.7×	28 0.4×	56	675
Shawn Witham United States	10	559 1.5×	40 0.3×	92 0.7×	120 1.0×	86 1.2×	12	738
Arjun Saha United States	17	345 0.9×	84 0.6×	43 0.3×	174 1.5×	226 3.1×	40	902
Sarah Williams United States	16	504 1.4×	35 0.3×	168 1.4×	76 0.6×	77 1.1×	28	837
Raquel Godoy‐Ruiz United States	16	803 2.2×	96 0.7×	92 0.7×	348 2.9×	70 1.0×	34	986
Jianyin Shao United States	5	539 1.4×	69 0.5×	36 0.3×	133 1.1×	44 0.6×	6	747
Simone Kosol United Kingdom	18	609 1.6×	142 1.1×	48 0.4×	181 1.5×	26 0.4×	32	880
Kathryn M. Hart United States	9	483 1.3×	71 0.5×	66 0.5×	117 1.0×	23 0.3×	13	609
Cláudia Elisabeth Munte Germany	15	398 1.1×	121 0.9×	52 0.4×	138 1.2×	17 0.2×	33	608
James K. Kranz United States	18	1.0k 2.7×	124 0.9×	63 0.5×	258 2.2×	40 0.5×	21	1.3k

Countries citing papers authored by Tommy Carstensen

Since Specialization

Citations

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

Fields of papers citing papers by Tommy Carstensen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tommy Carstensen

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Wojcik, Genevieve L., Poonum Korpe, Chelsea Marie, et al.. (2020). Genome-Wide Association Study of Cryptosporidiosis in Infants Implicates PRKCA. mBio. 11(1). 16 indexed citations

Sallah, Neneh, Wendell Miley, Nazzarena Labò, et al.. (2020). Distinct genetic architectures and environmental factors associate with host response to the γ2-herpesvirus infections. Nature Communications. 11(1). 3849–3849. 23 indexed citations

Ji, Chen, Meng Sun, Adebowale Adeyemo, et al.. (2019). Genome-wide association study of type 2 diabetes in Africa. Diabetologia. 62(7). 1204–1211. 61 indexed citations

Fatumo, Segun, Tommy Carstensen, Oyekanmi Nashiru, et al.. (2019). Complimentary Methods for Multivariate Genome-Wide Association Study Identify New Susceptibility Genes for Blood Cell Traits. Frontiers in Genetics. 10. 334–334. 19 indexed citations

Thorne, Lucy, Angela Nalwoga, Alexander J. Mentzer, et al.. (2018). The First Norovirus Longitudinal Seroepidemiological Study From Sub-Saharan Africa Reveals High Seroprevalence of Diverse Genotypes Associated With Host Susceptibility Factors. The Journal of Infectious Diseases. 218(5). 716–725. 19 indexed citations

Wojcik, Genevieve L., Chelsea Marie, Mayuresh M. Abhyankar, et al.. (2018). Genome-Wide Association Study Reveals Genetic Link between Diarrhea-Associated Entamoeba histolytica Infection and Inflammatory Bowel Disease. mBio. 9(5). 24 indexed citations

Mychaleckyj, Josyf C., Uma Nayak, E. Ross Colgate, et al.. (2018). Multiplex genomewide association analysis of breast milk fatty acid composition extends the phenotypic association and potential selection of FADS1 variants to arachidonic acid, a critical infant micronutrient. Journal of Medical Genetics. 55(7). 459–468. 21 indexed citations

Sallah, Neneh, Tommy Carstensen, Katie Wakeham, et al.. (2017). Whole-genome association study of antibody response to Epstein-Barr virus in an African population: a pilot. PubMed. 2. e18–e18. 8 indexed citations

Heckerman, David, Deepti Gurdasani, Carl Kadie, et al.. (2016). Linear mixed model for heritability estimation that explicitly addresses environmental variation. Proceedings of the National Academy of Sciences. 113(27). 7377–7382. 47 indexed citations

10.

Alexov, Emil, Ernest L. Mehler, Nathan Baker, et al.. (2011). Progress in the prediction of pK_avalues in proteins. Proteins Structure Function and Bioinformatics. 79(12). 3260–3275. 221 indexed citations

11.

Carstensen, Tommy, Damien Farrell, Yong Huang, Nathan Baker, & Jens Erik Nielsen. (2011). On the development of protein pK_a calculation algorithms. Proteins Structure Function and Bioinformatics. 79(12). 3287–3298. 17 indexed citations

12.

Farrell, Damien, Michael A. Johnston, J. F. N. Bradley, et al.. (2010). Capturing, sharing and analysing biophysical data from protein engineering and protein characterization studies. Nucleic Acids Research. 38(20). e186–e186. 4 indexed citations

13.

Søndergaard, Chresten R., et al.. (2009). Structural Artifacts in Protein−Ligand X-ray Structures: Implications for the Development of Docking Scoring Functions. Journal of Medicinal Chemistry. 52(18). 5673–5684. 36 indexed citations

14.

Lundström, Patrik, Kaare Teilum, Tommy Carstensen, et al.. (2007). Fractional 13C enrichment of isolated carbons using [1-13C]- or [2-13C]-glucose facilitates the accurate measurement of dynamics at backbone Cα and side-chain methyl positions in proteins. Journal of Biomolecular NMR. 38(3). 199–212. 147 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.

Explore authors with similar magnitude of impact