Pieter T. Bot

774 total citations
11 papers, 384 citations indexed

About

Pieter T. Bot is a scholar working on Cancer Research, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Pieter T. Bot has authored 11 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 6 papers in Molecular Biology and 4 papers in Immunology and Allergy. Recurrent topics in Pieter T. Bot's work include Angiogenesis and VEGF in Cancer (5 papers), Cell Adhesion Molecules Research (4 papers) and Cancer-related molecular mechanisms research (4 papers). Pieter T. Bot is often cited by papers focused on Angiogenesis and VEGF in Cancer (5 papers), Cell Adhesion Molecules Research (4 papers) and Cancer-related molecular mechanisms research (4 papers). Pieter T. Bot collaborates with scholars based in Netherlands, Germany and Indonesia. Pieter T. Bot's co-authors include Jan J. Piek, Imo E. Hoefer, Gerard Pasterkamp, Niels van Royen, Stephan H. Schirmer, Frans L. Moll, Marie‐José Goumans, Jean-Paul de Vries, Joost O. Fledderus and Anton J.G. Horrevoets and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Circulation Research.

In The Last Decade

Pieter T. Bot

11 papers receiving 377 citations

Peers

Pieter T. Bot

SURGE

IMMUN

ONCOL

Yasunobu Nishiwaki Japan

Jean-Luc Schwachtgen France

Tomoko Shizuno Japan

Clément d’Audigier France

Ihab Abd‐Elrahman Israel

Sophie Le Ricousse-Roussanne France

P Houston United Kingdom

Anastasia Abashidze Israel

Masamichi Eguchi Japan

Jatin Patel Australia

Yasunobu Nishiwaki Japan

Pieter T. Bot

241 ×1.2

81 ×0.7

SURGE

60 ×0.7

IMMUN

49 ×0.8

87 ×1.9

ONCOL

Citations per year, relative to Pieter T. Bot Pieter T. Bot (= 1×) peers Yasunobu Nishiwaki

Countries citing papers authored by Pieter T. Bot

Since Specialization

Citations

This map shows the geographic impact of Pieter T. Bot'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 Pieter T. Bot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pieter T. Bot more than expected).

Fields of papers citing papers by Pieter T. Bot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pieter T. Bot. 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 Pieter T. Bot. The network helps show where Pieter T. Bot may publish in the future.

Co-authorship network of co-authors of Pieter T. Bot

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

All Works

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11 of 11 papers shown

Bot, Pieter T., Dirk Pieter van Donk, Bartjan Pennink, & Togar M. Simatupang. (2015). Uncertainties in the Bidirectional Biodiesel Supply Chain. Journal of Cleaner Production. 95. 174–183. 12 indexed citations

Bot, Pieter T., Sebastian Grundmann, Niels van Royen, et al.. (2012). Distinct CD44 Splice Variants Differentially Affect Collateral Artery Growth. Current Vascular Pharmacology. 11(1). 13–20. 3 indexed citations

Bot, Pieter T., Sebastian Grundmann, Marie‐José Goumans, et al.. (2011). Forkhead box protein P1 as a downstream target of transforming growth factor-β induces collagen synthesis and correlates with a more stable plaque phenotype. Atherosclerosis. 218(1). 33–43. 23 indexed citations

Schirmer, Stephan H., Pieter T. Bot, Joost O. Fledderus, et al.. (2010). Blocking Interferon β Stimulates Vascular Smooth Muscle Cell Proliferation and Arteriogenesis. Journal of Biological Chemistry. 285(45). 34677–34685. 38 indexed citations

Bot, Pieter T., Gerard Pasterkamp, Marie‐José Goumans, et al.. (2010). Hyaluronic acid metabolism is increased in unstable plaques. European Journal of Clinical Investigation. 40(9). 818–827. 37 indexed citations

Groot, Daphne de, Imo E. Hoefer, Sebastian Grundmann, et al.. (2010). Arteriogenesis requires toll-like receptor 2 and 4 expression in bone-marrow derived cells. Journal of Molecular and Cellular Cardiology. 50(1). 25–32. 22 indexed citations

Bot, Pieter T., Imo E. Hoefer, Jan J. Piek, & Gerard Pasterkamp. (2008). Hyaluronic Acid: Targeting Immune Modulatory Components of the Extracellular Matrix in Atherosclerosis. Current Medicinal Chemistry. 15(8). 786–791. 49 indexed citations

Schirmer, Stephan H., Joost O. Fledderus, Pieter T. Bot, et al.. (2008). Interferon-β Signaling Is Enhanced in Patients With Insufficient Coronary Collateral Artery Development and Inhibits Arteriogenesis in Mice. Circulation Research. 102(10). 1286–1294. 56 indexed citations

Bot, Pieter T., Imo E. Hoefer, Joost P. G. Sluijter, et al.. (2008). Increased Expression of the Transforming Growth Factor-β Signaling Pathway, Endoglin, and Early Growth Response-1 in Stable Plaques. Stroke. 40(2). 439–447. 46 indexed citations

10.

Hoefer, Imo E., Arjan H. Schoneveld, Sebastian Grundmann, et al.. (2007). Abstract 303: Arteriogenesis Requires Leukocytic Co-Signaling of TLR2 and TLR4. Circulation. 116(suppl_16). 1 indexed citations

11.

Royen, Niels van, Stephan H. Schirmer, Bektaş Atasever, et al.. (2005). START Trial. Circulation. 112(7). 1040–1046. 97 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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