P. Stam

8.4k total citations · 2 hit papers
95 papers, 6.3k citations indexed

About

P. Stam is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, P. Stam has authored 95 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Plant Science, 43 papers in Genetics and 18 papers in Molecular Biology. Recurrent topics in P. Stam's work include Genetic Mapping and Diversity in Plants and Animals (39 papers), Genetics and Plant Breeding (30 papers) and Wheat and Barley Genetics and Pathology (24 papers). P. Stam is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (39 papers), Genetics and Plant Breeding (30 papers) and Wheat and Barley Genetics and Pathology (24 papers). P. Stam collaborates with scholars based in Netherlands, United States and Spain. P. Stam's co-authors include Rick Jansen, Xiaoquan Qi, P. Lindhout, R.E. Niks, Herman J. van Eck, Xinyou Yin, M.J. Kropff, Fred A. van Eeuwijk, Hans van Os and Richard G. F. Visser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

P. Stam

90 papers receiving 5.9k citations

Hit Papers

Construction of integrated genetic linkage maps by means ... 1993 2026 2004 2015 1993 1994 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Stam Netherlands 39 5.2k 2.6k 1.5k 371 368 95 6.3k
T. Hodgkin Italy 25 2.9k 0.6× 862 0.3× 725 0.5× 97 0.3× 724 2.0× 80 4.2k
Carlos F. Quirós United States 41 4.3k 0.8× 1.2k 0.4× 2.4k 1.6× 276 0.7× 590 1.6× 141 5.5k
Salvatore Ceccarelli Syria 46 5.4k 1.1× 1.5k 0.6× 523 0.4× 81 0.2× 418 1.1× 139 6.5k
Hei Leung Philippines 46 6.8k 1.3× 1.7k 0.7× 2.4k 1.6× 799 2.2× 372 1.0× 119 7.7k
Arun Kumar Joshi India 46 5.8k 1.1× 996 0.4× 451 0.3× 379 1.0× 365 1.0× 198 6.3k
Hannes Dempewolf United States 21 1.9k 0.4× 606 0.2× 549 0.4× 95 0.3× 475 1.3× 37 2.9k
J. W. Snape United Kingdom 55 10.8k 2.1× 3.7k 1.4× 3.0k 2.0× 242 0.7× 390 1.1× 208 11.8k
Kevin V. Pixley Mexico 35 2.5k 0.5× 917 0.3× 550 0.4× 51 0.1× 147 0.4× 88 3.4k
Joe Tohmé Colombia 47 6.3k 1.2× 1.5k 0.6× 1.1k 0.8× 225 0.6× 459 1.2× 141 7.2k
Alexander E. Lipka United States 34 4.3k 0.8× 2.4k 0.9× 1.3k 0.9× 222 0.6× 240 0.7× 102 5.7k

Countries citing papers authored by P. Stam

Since Specialization
Citations

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

Fields of papers citing papers by P. Stam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Stam

This figure shows the co-authorship network connecting the top 25 collaborators of P. Stam. A scholar is included among the top collaborators of P. Stam 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 P. Stam. P. Stam 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.
Shmueli, Amir, et al.. (2015). Managed care in four managed competition OECD health systems. Health Policy. 119(7). 860–873. 18 indexed citations
2.
Paolucci, Francesco, Femmeke J. Prinsze, P. Stam, & Wynand P.M.M. van de Ven. (2009). The potential premium range of risk-rating in competitive markets for supplementary health insurance. International Journal of Health Care Finance and Economics. 9(3). 243–258. 3 indexed citations
3.
Berg, Bernard van den, et al.. (2008). Preferenties voor zorg en zorgverzekeraars. TSG - Tijdschrift voor gezondheidswetenschappen. 86(1). 39–46. 1 indexed citations
4.
Berg, Bernard van den, et al.. (2008). Preferences and choices for care and health insurance. Social Science & Medicine. 66(12). 2448–2459. 41 indexed citations
5.
Stam, P.. (2007). Testing the effectiveness of risk equalization models in health insurance: a new method and its application. RePub (Erasmus University, Rotterdam). 8 indexed citations
6.
Os, Hans van, P. Stam, Richard G. F. Visser, & Herman J. van Eck. (2005). RECORD: a novel method for ordering loci on a genetic linkage map. Theoretical and Applied Genetics. 112(2). 389–389. 7 indexed citations
7.
Eeuwijk, Fred A. van, Marcos Malosetti, Xinyou Yin, P.C. Struik, & P. Stam. (2005). Statistical models for genotype by environment data: from conventional ANOVA models to eco-physiological QTL models. Australian Journal of Agricultural Research. 56(9). 883–894. 79 indexed citations
9.
Yan, Zhen, O. Dolstra, Théo Hendriks, et al.. (2005). Vigour evaluation for genetics and breeding in rose. Euphytica. 145(3). 339–347. 8 indexed citations
10.
Vanhala, Tytti, et al.. (2004). Environmental, phenotypic and genetic variation of wild barley (Hordeum spontaneum) from Israel. Euphytica. 137(3). 297–309. 21 indexed citations
11.
Patto, María Carlota Vaz, Diego Rubiales, A. Martı́n, et al.. (2003). QTL mapping provides evidence for lack of association of the avoidance of leaf rust in Hordeum chilense with stomata density. Theoretical and Applied Genetics. 106(7). 1283–1292. 13 indexed citations
12.
Yin, Xinyou, P. Stam, M.J. Kropff, & A.H.C.M. Schapendonk. (2003). Crop Modeling, QTL Mapping, and Their Complementary Role in Plant Breeding. Agronomy Journal. 95(1). 90–98. 25 indexed citations
13.
Abidin, P.E., Fred A. van Eeuwijk, P. Stam, et al.. (2002). EVALUATION OF SWEETPOTATO (IPOMOEA BATATAS (L.) LAM.) GERMPLASM FROM NORTH-EASTERN UGANDA THROUGH A FARMER PARTICIPATORY APPROACH. Acta Horticulturae. 61–68. 4 indexed citations
14.
Berloo, R. van & P. Stam. (2001). Simultaneous marker-assisted selection for multiple traits in autogamous crops. Theoretical and Applied Genetics. 102(6-7). 1107–1112. 13 indexed citations
15.
Koornneef, Maarten, Carlos Alonso‐Blanco, & P. Stam. (1998). Genetic Analysis. Humana Press eBooks. 82. 105–117. 7 indexed citations
16.
Alonso‐Blanco, Carlos, Maarten Koornneef, & P. Stam. (1998). The Use of Recombinant Inbred Lines (RILs) for Genetic Mapping. Humana Press eBooks. 82. 137–146. 13 indexed citations
17.
Stam, P.. (1998). Crop physiology, QTL analysis and plant breeding.. Socio-Environmental Systems Modeling. 8 indexed citations
18.
Jansen, Ritsert C. & P. Stam. (1994). High Resolution of Quantitative Traits into Multiple Loci via Interval Mapping. University of Groningen research database (University of Groningen / Centre for Information Technology). 2 indexed citations
19.
Weide, R., Monique F. van Wordragen, René Klein Lankhorst, et al.. (1993). Integration of the classical and molecular linkage maps of tomato chromosome 6.. Genetics. 135(4). 1175–1186. 39 indexed citations
20.
Stam, P.. (1979). The existence of stable translocation polymorphisms. Genetica. 50(2). 149–158. 7 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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