R.J. Vlietstra

1.1k total citations
10 papers, 911 citations indexed

About

R.J. Vlietstra is a scholar working on Genetics, Immunology and Hematology. According to data from OpenAlex, R.J. Vlietstra has authored 10 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Immunology and 3 papers in Hematology. Recurrent topics in R.J. Vlietstra's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Hormonal and reproductive studies (2 papers). R.J. Vlietstra is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Hormonal and reproductive studies (2 papers). R.J. Vlietstra collaborates with scholars based in Netherlands and Japan. R.J. Vlietstra's co-authors include Jan Trapman, Peter Riegman, J.A.G.M. van der Korput, Albert O. Brinkmann, J.C. Romijn, C.B.J.M. Cleutjens, Hans A.R. Bluyssen, Hetty A. G. M. van der Korput, Peter W. Faber and Anne Hagemeijer and has published in prestigious journals such as Nucleic Acids Research, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

R.J. Vlietstra

10 papers receiving 876 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R.J. Vlietstra Netherlands 8 434 398 215 200 181 10 911
Rute B. Marques Netherlands 13 270 0.6× 288 0.7× 146 0.7× 50 0.3× 96 0.5× 18 861
Katharina König Germany 14 231 0.5× 564 1.4× 50 0.2× 121 0.6× 71 0.4× 20 1.0k
Eiwa Ishida Japan 24 260 0.6× 930 2.3× 85 0.4× 50 0.3× 166 0.9× 52 1.4k
Elena Tirrò Italy 19 123 0.3× 423 1.1× 67 0.3× 204 1.0× 303 1.7× 48 1.0k
Kinya Ogami Japan 16 188 0.4× 285 0.7× 80 0.4× 54 0.3× 217 1.2× 23 1.1k
Marianne E. Greene United States 15 127 0.3× 626 1.6× 299 1.4× 32 0.2× 190 1.0× 20 1.3k
Saradhi Mallampati United States 14 94 0.2× 275 0.7× 110 0.5× 61 0.3× 40 0.2× 34 592
Daniel P. Rakiec Switzerland 9 454 1.0× 572 1.4× 149 0.7× 119 0.6× 16 0.1× 11 1.0k
Cinzia Puppin Italy 23 103 0.2× 782 2.0× 111 0.5× 360 1.8× 40 0.2× 46 1.2k
Maria Stella Pennisi Italy 14 77 0.2× 294 0.7× 58 0.3× 190 0.9× 235 1.3× 34 798

Countries citing papers authored by R.J. Vlietstra

Since Specialization
Citations

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

Fields of papers citing papers by R.J. Vlietstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.J. Vlietstra. 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 R.J. Vlietstra. The network helps show where R.J. Vlietstra may publish in the future.

Co-authorship network of co-authors of R.J. Vlietstra

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

All Works

10 of 10 papers shown
1.
Belzen, Nico van, Yoshihiro Nozawa, Winand N.M. Dinjens, et al.. (1995). Identification of mRNAs that Show Modulated Expression During Colon Carcinoma Cell Differentiation. European Journal of Biochemistry. 234(3). 843–848. 41 indexed citations
2.
Bluyssen, Hans A.R., Naoya Nakamura, R.J. Vlietstra, et al.. (1995). Isolation, properties and chromosomal localization of four closely linked hamster interferon-alpha-encoding genes. Gene. 158(2). 295–300. 4 indexed citations
4.
Bluyssen, Hans A.R., R.J. Vlietstra, Peter W. Faber, et al.. (1994). Structure, Chromosome Localization, and Regulation of Expression of the Interferon-Regulated Mouse Ifi54/Ifi56 Gene Family. Genomics. 24(1). 137–148. 52 indexed citations
5.
Riegman, Peter, et al.. (1992). Characterization of the human kallikrein locus. Genomics. 14(1). 6–11. 122 indexed citations
6.
Riegman, Peter, et al.. (1991). Identification and androgen-regulated expression of two major human glandular kallikrein-1 (hGK-1) mRNA species. Molecular and Cellular Endocrinology. 76(1-3). 181–190. 75 indexed citations
7.
Riegman, Peter, R.J. Vlietstra, J.A.G.M. van der Korput, Albert O. Brinkmann, & Jan Trapman. (1991). The Promoter of the Prostate-Specific Antigen Gene Contains a Functional Androgen Responsive Element. Molecular Endocrinology. 5(12). 1921–1930. 390 indexed citations
8.
Hermens, Rosella, M. Coerwinkel, Jan Trapman, et al.. (1990). AnMspl RFLP detected by the human glandular kallikrein gene (hGK) on chromosome 19q. Nucleic Acids Research. 18(1). 208–208. 3 indexed citations
9.
Riegman, Peter, R.J. Vlietstra, J.A.G.M. van der Korput, J.C. Romijn, & Jan Trapman. (1989). Characterization of the Prostate-specific Antigen gene: A novel human kallikrein-like gene. Biochemical and Biophysical Research Communications. 159(1). 95–102. 128 indexed citations
10.
Riegman, Peter, R.J. Vlietstra, Paul Klaassen, et al.. (1989). The prostate‐specific antigen gene and the human glandular kallikrein‐1 gene are tandemly located on chromosome 19. FEBS Letters. 247(1). 123–126. 64 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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