Daniel C. Sévin

2.4k total citations
9 papers, 210 citations indexed

About

Daniel C. Sévin is a scholar working on Molecular Biology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel C. Sévin has authored 9 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel C. Sévin's work include Protein purification and stability (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Daniel C. Sévin is often cited by papers focused on Protein purification and stability (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Daniel C. Sévin collaborates with scholars based in Germany, United Kingdom and United States. Daniel C. Sévin's co-authors include Kathy Triantafilou, Emma Koppe, Stefano Angiari, Luke O'neill, Martha Triantafilou, Louise K. Modis, Richard G. Carroll, Zbigniew Zasłona, Silvia Galván-Peña and Johanna Vappiani and has published in prestigious journals such as Journal of Biological Chemistry, European Respiratory Journal and AIChE Journal.

In The Last Decade

Daniel C. Sévin

8 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel C. Sévin Germany 6 85 72 33 24 23 9 210
Xiang Yi Kong Norway 10 118 1.4× 74 1.0× 42 1.3× 41 1.7× 29 1.3× 23 277
Soo‐Kyung Jeong South Korea 6 95 1.1× 75 1.0× 25 0.8× 30 1.3× 32 1.4× 9 220
Alyssa Matz United States 8 83 1.0× 57 0.8× 17 0.5× 36 1.5× 24 1.0× 13 209
Vladislav Kalmykov Russia 8 157 1.8× 74 1.0× 39 1.2× 35 1.5× 22 1.0× 17 270
Ruigong Zhu China 6 174 2.0× 67 0.9× 32 1.0× 45 1.9× 32 1.4× 12 287
Weiwei Cai China 9 188 2.2× 85 1.2× 35 1.1× 27 1.1× 24 1.0× 20 378
Kyra E. de Goede Netherlands 8 109 1.3× 130 1.8× 45 1.4× 23 1.0× 19 0.8× 11 243
Xiaofang Jin China 10 126 1.5× 47 0.7× 29 0.9× 32 1.3× 16 0.7× 14 300

Countries citing papers authored by Daniel C. Sévin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Sévin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Sévin. 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 Daniel C. Sévin. The network helps show where Daniel C. Sévin may publish in the future.

Co-authorship network of co-authors of Daniel C. Sévin

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

All Works

9 of 9 papers shown
1.
Chen, Hung‐Jen, Daniel C. Sévin, Guillermo R. Griffith, et al.. (2024). Integrated metabolic-transcriptomic network identifies immunometabolic modulations in human macrophages. Cell Reports. 43(9). 114741–114741. 9 indexed citations
2.
Sévin, Daniel C., et al.. (2024). Productive CHO cell lines selection in biopharm process development through machine learning on metabolomic dynamics. AIChE Journal. 71(2). 1 indexed citations
3.
4.
Sévin, Daniel C., et al.. (2022). Integrating metabolome dynamics and process data to guide cell line selection in biopharmaceutical process development. Metabolic Engineering. 72. 353–364. 7 indexed citations
5.
6.
Vappiani, Johanna, et al.. (2021). Exometabolome profiling reveals activation of the carnitine buffering pathway in fed‐batch cultures of CHO cells co‐fed with glucose and lactic acid. Biotechnology Progress. 37(6). e3198–e3198. 9 indexed citations
7.
Khan, Muzamil Majid, Daniel Poeckel, Aliaksandr Halavatyi, et al.. (2020). An integrated multiomic and quantitative label-free microscopy-based approach to study pro-fibrotic signalling in ex vivo human precision-cut lung slices. European Respiratory Journal. 58(1). 2000221–2000221. 25 indexed citations
8.
Frederick, David W., Johanna Vappiani, Andrea Nuzzo, et al.. (2020). Complementary NAD+ replacement strategies fail to functionally protect dystrophin-deficient muscle. Skeletal Muscle. 10(1). 30–30. 14 indexed citations
9.
Carroll, Richard G., Zbigniew Zasłona, Silvia Galván-Peña, et al.. (2018). An unexpected link between fatty acid synthase and cholesterol synthesis in proinflammatory macrophage activation. Journal of Biological Chemistry. 293(15). 5509–5521. 140 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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