Kenneth Segers

579 total citations
17 papers, 451 citations indexed

About

Kenneth Segers is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Kenneth Segers has authored 17 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Hematology and 6 papers in Genetics. Recurrent topics in Kenneth Segers's work include Blood Coagulation and Thrombosis Mechanisms (8 papers), Biochemical and Structural Characterization (3 papers) and Venomous Animal Envenomation and Studies (3 papers). Kenneth Segers is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (8 papers), Biochemical and Structural Characterization (3 papers) and Venomous Animal Envenomation and Studies (3 papers). Kenneth Segers collaborates with scholars based in Netherlands, Belgium and Sweden. Kenneth Segers's co-authors include Gerry A. F. Nicolaes, Björn Dahlbäck, Jozef Anné, Bruno O. Villoutreix, Jan Rosing, Steven De Jonghe, Piet Herdewijn, Miyeon Jang, Jan Rosing and Maria A. Miteva and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Analytical Biochemistry.

In The Last Decade

Kenneth Segers

17 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth Segers Netherlands 12 189 169 72 64 55 17 451
Andreas van de Locht Germany 9 164 0.9× 240 1.4× 101 1.4× 51 0.8× 31 0.6× 12 522
R. Maschler Germany 14 99 0.5× 333 2.0× 179 2.5× 23 0.4× 15 0.3× 26 636
Artur Mitterer Austria 13 387 2.0× 181 1.1× 68 0.9× 55 0.9× 19 0.3× 35 632
M Borowski United States 8 113 0.6× 265 1.6× 50 0.7× 42 0.7× 15 0.3× 9 642
Robert Buckland United Kingdom 12 58 0.3× 248 1.5× 54 0.8× 11 0.2× 17 0.3× 19 545
Richard C. Winant United States 9 60 0.3× 113 0.7× 79 1.1× 6 0.1× 23 0.4× 11 359
Matthias Müller Germany 12 27 0.1× 282 1.7× 175 2.4× 15 0.2× 8 0.1× 23 520
Laura Abriola United States 12 92 0.5× 314 1.9× 16 0.2× 43 0.7× 9 0.2× 19 486
Weimei Xing United States 9 39 0.2× 248 1.5× 22 0.3× 105 1.6× 49 0.9× 12 515
Ramanda Upshaw United States 9 27 0.1× 154 0.9× 7 0.1× 39 0.6× 24 0.4× 12 345

Countries citing papers authored by Kenneth Segers

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Segers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth Segers

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

All Works

17 of 17 papers shown
1.
Segers, Kenneth, et al.. (2015). Identification of small-molecule inhibitors against SecA by structure-based virtual ligand screening. The Journal of Antibiotics. 68(11). 666–673. 16 indexed citations
2.
Segers, Kenneth & Stefan Masure. (2015). Cell‐Free Expression of G Protein–Coupled Receptors. Current Protocols in Protein Science. 81(1). 6 indexed citations
3.
Stella, Alessandro, Steven De Jonghe, Kenneth Segers, & Piet Herdewijn. (2012). A short and straightforward approach towards 6-amino and 6-aminoalkyl thiazolo[4,5-c]pyridazines. Tetrahedron Letters. 54(8). 830–833. 1 indexed citations
4.
Segers, Kenneth & Jozef Anné. (2011). Traffic Jam at the Bacterial Sec Translocase: Targeting the SecA Nanomotor by Small-Molecule Inhibitors. Chemistry & Biology. 18(6). 685–698. 40 indexed citations
5.
Stella, Alessandro, Kenneth Segers, Steven De Jonghe, et al.. (2011). Synthesis and Antibacterial Evaluation of a Novel Series of 2‐(1,2‐Dihydro‐3‐oxo‐3H‐pyrazol‐2‐yl)benzothiazoles. Chemistry & Biodiversity. 8(2). 253–265. 11 indexed citations
6.
Segers, Kenneth, Hugo Klaassen, Anastassios Economou, Patrick Chaltin, & Jozef Anné. (2011). Development of a high-throughput screening assay for the discovery of small-molecule SecA inhibitors. Analytical Biochemistry. 413(2). 90–96. 21 indexed citations
7.
Nicolaes, Gerry A. F., et al.. (2010). Inhibition of Thrombin Formation by Active Site Mutated (S360A) Activated Protein C. Journal of Biological Chemistry. 285(30). 22890–22900. 11 indexed citations
8.
Jang, Miyeon, Steven De Jonghe, Kenneth Segers, Jozef Anné, & Piet Herdewijn. (2010). Synthesis of novel 5-amino-thiazolo[4,5-d]pyrimidines as E. coli and S. aureus SecA inhibitors. Bioorganic & Medicinal Chemistry. 19(1). 702–714. 48 indexed citations
9.
Spérandio, Olivier, Maria A. Miteva, Kenneth Segers, Gerry A. F. Nicolaes, & Bruno O. Villoutreix. (2008). Screening Outside the Catalytic Site: Inhibition of Macromolecular Interactions Through Structure-Based Virtual Ligand Screening Experiments. PubMed. 2(1). 29–37. 15 indexed citations
10.
Stoilova‐McPhie, Svetla, Christopher Parmenter, Kenneth Segers, Bruno O. Villoutreix, & Gerry A. F. Nicolaes. (2008). Defining the structure of membrane‐bound human blood coagulation factor Va. Journal of Thrombosis and Haemostasis. 6(1). 76–82. 23 indexed citations
11.
Segers, Kenneth, Björn Dahlbäck, Jan Rosing, & Gerry A. F. Nicolaes. (2008). Identification of Surface Epitopes of Human Coagulation Factor Va That Are Important for Interaction with Activated Protein C and Heparin. Journal of Biological Chemistry. 283(33). 22573–22581. 10 indexed citations
12.
Jeimy, Samira, Nola Fuller, Subia Tasneem, et al.. (2008). Multimerin 1 binds factor V and activated factor V with high affinity and inhibits thrombin generation. Thrombosis and Haemostasis. 100(12). 1058–1067. 32 indexed citations
13.
Segers, Kenneth, Björn Dahlbäck, Paul Bock, et al.. (2007). The Role of Thrombin Exosites I and II in the Activation of Human Coagulation Factor V. Journal of Biological Chemistry. 282(47). 33915–33924. 30 indexed citations
14.
Segers, Kenneth, Björn Dahlbäck, & Gerry A. F. Nicolaes. (2007). Coagulation factor V and thrombophilia: Background and mechanisms. Thrombosis and Haemostasis. 98(9). 530–542. 117 indexed citations
15.
Segers, Kenneth, Olivier Spérandio, M. Sack, et al.. (2007). Design of protein–membrane interaction inhibitors by virtual ligand screening, proof of concept with the C2 domain of factor V. Proceedings of the National Academy of Sciences. 104(31). 12697–12702. 49 indexed citations
16.
Segers, Kenneth, et al.. (2006). Structural models of the snake venom factor V activators from Daboia russelli and Daboia lebetina. British Journal of Haematology. 133. 76–76. 2 indexed citations
17.
Segers, Kenneth, Jan Rosing, & Gerry A. F. Nicolaes. (2006). Structural models of the snake venom factor V activators from Daboia russelli and Daboia lebetina. Proteins Structure Function and Bioinformatics. 64(4). 968–984. 19 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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