Peter S. Oud

626 total citations
28 papers, 529 citations indexed

About

Peter S. Oud is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Peter S. Oud has authored 28 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Peter S. Oud's work include Molecular Biology Techniques and Applications (7 papers), AI in cancer detection (4 papers) and Cancer Genomics and Diagnostics (4 papers). Peter S. Oud is often cited by papers focused on Molecular Biology Techniques and Applications (7 papers), AI in cancer detection (4 papers) and Cancer Genomics and Diagnostics (4 papers). Peter S. Oud collaborates with scholars based in Netherlands, United States and Ireland. Peter S. Oud's co-authors include G. Peter Vooijs, M. M. M. Pahlplatz, Johan Tas, Willem E. Corver, Bert A. Bonsing, J. James, Hans L. M. Beck, David J. Zahniser, Frans C. S. Ramaekers and R.T. Van de Walle and has published in prestigious journals such as Cancer, Biochimica et Biophysica Acta (BBA) - Biomembranes and Journal of Histochemistry & Cytochemistry.

In The Last Decade

Peter S. Oud

27 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter S. Oud Netherlands 14 224 155 126 72 70 28 529
Julie L. Flowers United States 7 216 1.0× 235 1.5× 134 1.1× 17 0.2× 48 0.7× 7 653
H.M. Ruitenberg Netherlands 8 127 0.6× 188 1.2× 241 1.9× 38 0.5× 29 0.4× 12 509
Palmina Cataldi Italy 12 197 0.9× 113 0.7× 70 0.6× 76 1.1× 25 0.4× 21 395
E. Louie United States 17 433 1.9× 216 1.4× 77 0.6× 23 0.3× 57 0.8× 35 1.0k
Torbjörn Caspersson Sweden 11 235 1.0× 127 0.8× 200 1.6× 13 0.2× 24 0.3× 18 585
Dennis L. Rousseau United States 9 304 1.4× 372 2.4× 83 0.7× 16 0.2× 125 1.8× 14 648
Zahra Mohammed United Kingdom 12 243 1.1× 283 1.8× 208 1.7× 24 0.3× 59 0.8× 18 619
Eliseo Mattioli Italy 14 233 1.0× 129 0.8× 83 0.7× 27 0.4× 20 0.3× 19 465
Sriparna Ghosh United States 12 372 1.7× 225 1.5× 238 1.9× 15 0.2× 125 1.8× 16 717
Shuhong Shen China 15 467 2.1× 105 0.7× 132 1.0× 31 0.4× 45 0.6× 59 903

Countries citing papers authored by Peter S. Oud

Since Specialization
Citations

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

Fields of papers citing papers by Peter S. Oud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter S. Oud. 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 Peter S. Oud. The network helps show where Peter S. Oud may publish in the future.

Co-authorship network of co-authors of Peter S. Oud

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

All Works

20 of 20 papers shown
1.
Oud, Peter S., et al.. (1997). Multiparameter Absorption Measurements in Automated Microscopy. Acta Cytologica. 41(1). 188–196. 2 indexed citations
2.
Bonsing, Bert A., Willem E. Corver, Marja van Vliet, et al.. (1997). Specificity of seven monoclonal antibodies against p53 evaluated with Western blotting, immunohistochemistry, confocal laser scanning microscopy, and flow cytometry.. PubMed. 28(1). 11–24. 66 indexed citations
3.
Bonsing, Bert A., Willem E. Corver, Margreethe van Vliet, et al.. (1997). Specificity of seven monoclonal antibodies against p53 evaluated with Western blotting, immunohistochemistry, confocal laser scanning microscopy, and flow cytometry. Cytometry. 28(1). 11–24. 4 indexed citations
4.
Bonsing, Bert A., Willem E. Corver, Margreethe van Vliet, et al.. (1997). Specificity of seven monoclonal antibodies against p53 evaluated with Western blotting, immunohistochemistry, confocal laser scanning microscopy, and flow cytometry. Cytometry. 28(1). 11–24. 56 indexed citations
5.
Mesker, Wilma E., et al.. (1994). Detection of immunocytochemically stained rare events using image analysis. Cytometry. 17(3). 209–215. 31 indexed citations
6.
Oud, Peter S., et al.. (1989). Image and flow dna cytometry of small cell carcinoma of the lung. Cancer. 64(6). 1304–1309. 24 indexed citations
7.
Hanselaar, Antonius G.J.M., G. Peter Vooijs, Peter S. Oud, M. M. M. Pahlplatz, & J. L. M. Beck. (1988). DNA ploidy patterns in cervical intraepithelial neoplasia grade III, with and without synchronous invasive squamous cell carcinoma: Measurements in nuclei isolated from paraffin-embedded tissue. Cancer. 62(12). 2537–2545. 24 indexed citations
8.
Oud, Peter S., et al.. (1988). DNA Cytometry of Pure Dysgerminomas of the Ovary. International Journal of Gynecological Pathology. 7(3). 258–267. 14 indexed citations
9.
Broers, J. L. V., M. M. M. Pahlplatz, Michael W. Katzko, et al.. (1988). Quantitative description of classic and variant small cell lung cancer cell lines by nuclear image cytometry. Cytometry. 9(5). 426–431. 8 indexed citations
10.
Oud, Peter S., Antonius G.J.M. Hanselaar, M. M. M. Pahlplatz, Jos W. R. Meijer, & G. Peter Vooijs. (1987). Image DNA-index (ploidy) analysis in cancer diagnosis. Applied Optics. 26(16). 3349–3349. 8 indexed citations
11.
Oud, Peter S., Michael W. Katzko, M. M. M. Pahlplatz, & G. Peter Vooijs. (1987). Evaluation of DNA and nuclear protein features for their use in describing normal and malignant endometrium. Cytometry. 8(5). 453–460. 8 indexed citations
12.
Katzko, Michael W., M. M. M. Pahlplatz, Peter S. Oud, & G. Peter Vooijs. (1987). Carcinoma in situ specimen classification based on intermediate cell measurements. Cytometry. 8(1). 9–13. 8 indexed citations
13.
Zahniser, David J., et al.. (1987). Evaluation of contextual analysis for computer classification of cervical smears. Cytometry. 8(2). 210–216. 5 indexed citations
14.
Ramaekers, Frans C. S., Hans L. M. Beck, Wouter F.J. Feitz, et al.. (1986). Application of antibodies to intermediate filament proteins as tissue-specific probes in the flow cytometric analysis of complex tumors.. PubMed. 8(4). 271–80. 21 indexed citations
15.
Pahlplatz, M. M. M., et al.. (1986). Two methods for analyzing pleural smears for the presence of abnormalities. Pattern Recognition Letters. 4(5). 405–411. 6 indexed citations
16.
Oud, Peter S., et al.. (1986). Extraction of nuclei from selected regions in paraffin‐embedded tissue. Cytometry. 7(6). 595–600. 25 indexed citations
17.
18.
Oud, Peter S., et al.. (1984). A new disaggregation device for cytology specimens. Cytometry. 5(5). 509–514. 7 indexed citations
19.
Zahniser, David J., et al.. (1980). Field test results using the BioPEPR cervical smear prescreening system. Cytometry. 1(3). 200–203. 13 indexed citations
20.
Zahniser, David J., et al.. (1979). BioPEPR: a system for the automatic prescreening of cervical smears.. Journal of Histochemistry & Cytochemistry. 27(1). 635–641. 35 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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