Taco Kind

1.7k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

Taco Kind is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Taco Kind has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 9 papers in Pulmonary and Respiratory Medicine and 3 papers in Surgery. Recurrent topics in Taco Kind's work include Pulmonary Hypertension Research and Treatments (9 papers), Cardiovascular Function and Risk Factors (9 papers) and Congenital Heart Disease Studies (3 papers). Taco Kind is often cited by papers focused on Pulmonary Hypertension Research and Treatments (9 papers), Cardiovascular Function and Risk Factors (9 papers) and Congenital Heart Disease Studies (3 papers). Taco Kind collaborates with scholars based in Netherlands and United States. Taco Kind's co-authors include Anton Vonk Noordegraaf, Nico Westerhof, J. Tim Marcus, Mariëlle C. van de Veerdonk, Gert-Jan Mauritz, Harm Jan Bogaard, Anco Boonstra, Koen Marques, Martijn W. Heymans and Theo J. C. Faes and has published in prestigious journals such as Journal of the American College of Cardiology, CHEST Journal and The American Journal of Cardiology.

In The Last Decade

Taco Kind

15 papers receiving 1.2k citations

Hit Papers

Progressive Right Ventricular Dysfunction in Patients Wit... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taco Kind Netherlands 11 1.0k 1.0k 246 121 79 15 1.2k
Herman Groepenhoff Netherlands 17 977 1.0× 735 0.7× 98 0.4× 89 0.7× 34 0.4× 26 1.2k
Vitaly O. Kheyfets United States 19 535 0.5× 518 0.5× 184 0.7× 131 1.1× 66 0.8× 56 821
Roberto Sanfilippo Italy 23 1.1k 1.1× 819 0.8× 567 2.3× 149 1.2× 359 4.5× 68 1.5k
Rosemarie Salerni United States 14 287 0.3× 508 0.5× 129 0.5× 200 1.7× 66 0.8× 32 862
Thomas G. Sharp United States 17 418 0.4× 424 0.4× 437 1.8× 549 4.5× 67 0.8× 33 1.1k
Mariana Selwaness Netherlands 17 499 0.5× 476 0.5× 208 0.8× 158 1.3× 180 2.3× 23 813
Giovanni Puppini Italy 14 221 0.2× 288 0.3× 144 0.6× 136 1.1× 63 0.8× 39 508
Cor Allaart Netherlands 11 407 0.4× 715 0.7× 97 0.4× 100 0.8× 83 1.1× 23 818
Vicens Martı́ Spain 17 280 0.3× 888 0.9× 67 0.3× 563 4.7× 273 3.5× 83 1.3k
Steven R. Weinstein United States 7 188 0.2× 603 0.6× 66 0.3× 365 3.0× 882 11.2× 7 1.4k

Countries citing papers authored by Taco Kind

Since Specialization
Citations

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

Fields of papers citing papers by Taco Kind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taco Kind

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

All Works

15 of 15 papers shown
1.
Surie, Sulaiman, Mart N. van der Plas, J. Tim Marcus, et al.. (2014). Effect of Pulmonary Endarterectomy for Chronic Thromboembolic Pulmonary Hypertension on Stroke Volume Response to Exercise. The American Journal of Cardiology. 114(1). 136–140. 17 indexed citations
2.
Veerdonk, Mariëlle C. van de, Sophie A. Dusoswa, J. Tim Marcus, et al.. (2013). The importance of trabecular hypertrophy in right ventricular adaptation to chronic pressure overload. International journal of cardiac imaging. 30(2). 357–365. 18 indexed citations
3.
Trip, Pia, Taco Kind, Mariëlle C. van de Veerdonk, et al.. (2012). Accurate assessment of load-independent right ventricular systolic function in patients with pulmonary hypertension. The Journal of Heart and Lung Transplantation. 32(1). 50–55. 102 indexed citations
4.
Mauritz, Gert-Jan, Anton Vonk Noordegraaf, Taco Kind, et al.. (2012). Pulmonary endarterectomy normalizes interventricular dyssynchrony and right ventricular systolic wall stress. Journal of Cardiovascular Magnetic Resonance. 14(1). 9–9. 57 indexed citations
5.
Kind, Taco, Gerrina Ruiter, Theo J. C. Faes, et al.. (2011). Estimation of right ventricular isovolumic pressure in experimental pulmonary hypertension from a single ejecting beat. European Respiratory Journal. 38(Suppl 55). p1520–p1520. 1 indexed citations
6.
Mauritz, Gert-Jan, Taco Kind, J. Tim Marcus, et al.. (2011). Progressive Changes in Right Ventricular Geometric Shortening and Long-term Survival in Pulmonary Arterial Hypertension. CHEST Journal. 141(4). 935–943. 108 indexed citations
7.
Veerdonk, Mariëlle C. van de, Taco Kind, J. Tim Marcus, et al.. (2011). Progressive Right Ventricular Dysfunction in Patients With Pulmonary Arterial Hypertension Responding to Therapy. Journal of the American College of Cardiology. 58(24). 2511–2519. 601 indexed citations breakdown →
8.
Kind, Taco, Theo J. C. Faes, Jan‐Willem Lankhaar, Anton Vonk Noordegraaf, & Michel Verhaegen. (2010). Estimation of Three- and Four-Element Windkessel Parameters Using Subspace Model Identification. IEEE Transactions on Biomedical Engineering. 57(7). 1531–1538. 34 indexed citations
9.
Kind, Taco, Ivo Houtzager, Theo J. C. Faes, & Mark B.M. Hofman. (2010). Evaluation of model-independent deconvolution techniques to estimate blood perfusion. PubMed. 6. 2602–2607. 4 indexed citations
10.
Kind, Taco, Gert-Jan Mauritz, J. Tim Marcus, et al.. (2010). Right ventricular ejection fraction is better reflected by transverse rather than longitudinal wall motion in pulmonary hypertension. Journal of Cardiovascular Magnetic Resonance. 12(1). 35–35. 157 indexed citations
11.
Kind, Taco, Theo J. C. Faes, Anton Vonk Noordegraaf, & Nico Westerhof. (2010). Proportional Relations Between Systolic, Diastolic and Mean Pulmonary Artery Pressure are Explained by Vascular Properties. Cardiovascular Engineering and Technology. 2(1). 15–23. 32 indexed citations
12.
Lankhaar, Jan‐Willem, Paul Steendijk, Theo J. C. Faes, et al.. (2009). Modeling the Instantaneous Pressure–Volume Relation of the Left Ventricle: A Comparison of Six Models. Annals of Biomedical Engineering. 37(9). 1710–1726. 30 indexed citations
14.
Kind, Taco, Nico Westerhof, Theo J. C. Faes, et al.. (2008). Cardiac phase-dependent time normalization reduces load dependence of time-varying elastance. American Journal of Physiology-Heart and Circulatory Physiology. 296(2). H342–H349. 3 indexed citations
15.
Putten, Michel J. A. M. van, Taco Kind, Frank E. Visser, & Vera Lagerburg. (2005). Detecting temporal lobe seizures from scalp EEG recordings: A comparison of various features. Clinical Neurophysiology. 116(10). 2480–2489. 61 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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