Hetty Visser

995 total citations
8 papers, 839 citations indexed

About

Hetty Visser is a scholar working on Cancer Research, Hematology and Molecular Biology. According to data from OpenAlex, Hetty Visser has authored 8 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 4 papers in Hematology and 3 papers in Molecular Biology. Recurrent topics in Hetty Visser's work include Protease and Inhibitor Mechanisms (7 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Peptidase Inhibition and Analysis (3 papers). Hetty Visser is often cited by papers focused on Protease and Inhibitor Mechanisms (7 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Peptidase Inhibition and Analysis (3 papers). Hetty Visser collaborates with scholars based in Finland, Netherlands and Italy. Hetty Visser's co-authors include Roeland Hanemaaijer, Victor W.M. van Hinsbergh, Timo Sorsa, Tuula Salo, Pieter Koolwijk, Jan H. Verheijen, Yanli Ding, H. Rönkä, Tarja Helaakoski and Harald Tschesche and has published in prestigious journals such as Journal of Biological Chemistry, Annals of the New York Academy of Sciences and International Journal of Cancer.

In The Last Decade

Hetty Visser

8 papers receiving 807 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hetty Visser Finland 6 405 191 174 161 109 8 839
Nungavaram S. Ramamurthy United States 14 230 0.6× 141 0.7× 181 1.0× 396 2.5× 42 0.4× 14 889
LORNE M. GOLUB United States 11 180 0.4× 141 0.7× 160 0.9× 164 1.0× 38 0.3× 11 721
Gareth L. Howells United Kingdom 16 183 0.5× 163 0.9× 241 1.4× 62 0.4× 528 4.8× 24 1.2k
Teresa I. Mitchell United States 11 462 1.1× 304 1.6× 487 2.8× 35 0.2× 130 1.2× 14 1.0k
Yoshinori Katada Japan 17 113 0.3× 333 1.7× 391 2.2× 55 0.3× 152 1.4× 46 1.4k
Yuki Nanke Japan 20 109 0.3× 279 1.5× 511 2.9× 83 0.5× 157 1.4× 83 1.5k
Timothy E. Cawston United Kingdom 19 463 1.1× 291 1.5× 341 2.0× 30 0.2× 131 1.2× 27 1.3k
Regine Dahse Germany 17 174 0.4× 227 1.2× 353 2.0× 100 0.6× 21 0.2× 47 870
Amerigo Santoro Italy 12 55 0.1× 161 0.8× 153 0.9× 179 1.1× 43 0.4× 15 1.0k
Pirjo Åström Finland 13 254 0.6× 234 1.2× 223 1.3× 60 0.4× 41 0.4× 30 589

Countries citing papers authored by Hetty Visser

Since Specialization
Citations

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

Fields of papers citing papers by Hetty Visser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hetty Visser

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

All Works

8 of 8 papers shown
1.
Visser, Hetty, et al.. (2010). Gene Expression Profiling to Predict Clinical Outcome of Breast Cancer: reproducing, analyzing and extending the Nature publication by vhVeer et al. 1 indexed citations
2.
Hanemaaijer, Roeland, Jan H. Verheijen, Teresa Maguire, et al.. (2000). Increased gelatinase-A and gelatinase-B activities in malignantvs. benign breast tumors. International Journal of Cancer. 86(2). 204–207. 103 indexed citations
3.
Hanemaaijer, Roeland, et al.. (1999). MMP‐9 Activity in Urine from Patients with Various Tumors, as Measured by a Novel MMP Activity Assay Using Modified Urokinase as a Substrate. Annals of the New York Academy of Sciences. 878(1). 141–149. 21 indexed citations
4.
Capper, S.J., et al.. (1999). Determination of Gelatinase‐A (MMP‐2) Activity Using a Novel Immunocapture Assay. Annals of the New York Academy of Sciences. 878(1). 487–490. 19 indexed citations
5.
Hanemaaijer, Roeland, Hetty Visser, YrjöT. Konttinen, Pieter Koolwijk, & Jan H. Verheijen. (1998). A novel and simple immunocapture assay for determination of gelatinase-b (MMP-9) activities in biological fluids: Saliva from patients with Sjögren's Syndrome contain increased latent and active gelatinase-b levels. Matrix Biology. 17(8-9). 657–665. 99 indexed citations
6.
Hanemaaijer, Roeland, Hetty Visser, Pieter Koolwijk, et al.. (1998). Inhibition of MMP Synthesis by Doxycycline and Chemically Modified Tetracyclines (CMTs) in Human Endothelial Cells. Advances in Dental Research. 12(1). 114–118. 168 indexed citations
7.
Hanemaaijer, Roeland, Timo Sorsa, Yrjö T. Konttinen, et al.. (1997). Matrix Metalloproteinase-8 Is Expressed in Rheumatoid Synovial Fibroblasts and Endothelial Cells. Journal of Biological Chemistry. 272(50). 31504–31509. 425 indexed citations
8.
Hanemaaijer, Roeland, Hetty Visser, C.M. van den Hoogen, Timo Sorsa, & Victor W.M. van Hinsbergh. (1996). Inhibition of urokinase-type and tissue-type plasminogen activator — mediated plasminogen activation by doxycycline. Fibrinolysis and Proteolysis. 10. 109–111. 3 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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