Hendrik J. Harms

3.4k total citations · 1 hit paper
104 papers, 2.3k citations indexed

About

Hendrik J. Harms is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Hendrik J. Harms has authored 104 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Radiology, Nuclear Medicine and Imaging, 49 papers in Cardiology and Cardiovascular Medicine and 15 papers in Molecular Biology. Recurrent topics in Hendrik J. Harms's work include Cardiac Imaging and Diagnostics (54 papers), Cardiovascular Function and Risk Factors (33 papers) and Medical Imaging Techniques and Applications (28 papers). Hendrik J. Harms is often cited by papers focused on Cardiac Imaging and Diagnostics (54 papers), Cardiovascular Function and Risk Factors (33 papers) and Medical Imaging Techniques and Applications (28 papers). Hendrik J. Harms collaborates with scholars based in Netherlands, Denmark and Sweden. Hendrik J. Harms's co-authors include Adriaan A. Lammertsma, Paul Knaapen, Lars Poulsen Tolbod, Mark Lubberink, Henrik Wiggers, Stefan de Haan, Jens Nørkær Sørensen, Roni Nielsen, Albert C. van Rossum and Jørgen Frøkiær and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.

In The Last Decade

Hendrik J. Harms

98 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cardiovascular Effects of Treatment With the Ketone Body 3-Hydroxybutyrate in Chronic Heart Failure Patients

2019 367 citations Roni Nielsen, Lars Poulsen Tolbod et al. Circulation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hendrik J. Harms Netherlands	25	1.1k	889	496	434	396	104	2.3k
Koji Ohmori Japan	28	883 0.8×	389 0.4×	564 1.1×	314 0.7×	433 1.1×	96	2.2k
Ken‐ichi Kawabata Japan	30	1.2k 1.1×	371 0.4×	526 1.1×	287 0.7×	594 1.5×	113	2.6k
Loek van Heerebeek Netherlands	17	2.9k 2.7×	366 0.4×	568 1.1×	290 0.7×	334 0.8×	33	3.4k
Danilo Neglia Italy	31	1.9k 1.8×	1.4k 1.5×	457 0.9×	247 0.6×	783 2.0×	167	3.0k
Riikka Läutamaki Finland	29	722 0.7×	1.0k 1.2×	430 0.9×	355 0.8×	548 1.4×	57	2.4k
Katsufumi Mizushige Japan	24	776 0.7×	277 0.3×	382 0.8×	217 0.5×	314 0.8×	100	1.9k
Susana Ravassa Spain	34	2.0k 1.9×	283 0.3×	1.2k 2.3×	275 0.6×	628 1.6×	90	3.4k
Pierre Dos Santos France	33	1.7k 1.6×	672 0.8×	896 1.8×	313 0.7×	471 1.2×	98	3.3k
Mareomi Hamada Japan	26	2.0k 1.9×	392 0.4×	412 0.8×	156 0.4×	526 1.3×	183	2.6k
Masazumi Arai Japan	23	995 0.9×	763 0.9×	471 0.9×	107 0.2×	663 1.7×	65	2.2k

Countries citing papers authored by Hendrik J. Harms

Since Specialization

Citations

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

Fields of papers citing papers by Hendrik J. Harms

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hendrik J. Harms. 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 Hendrik J. Harms. The network helps show where Hendrik J. Harms may publish in the future.

Co-authorship network of co-authors of Hendrik J. Harms

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

All Works

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20 of 20 papers shown

Kero, Tanja, Christian L. Polte, Kai M. Eggers, et al.. (2025). Impact of hemoglobin concentration on quantitative cardiac perfusion measurements. Journal of Nuclear Cardiology. 55. 102537–102537.

Jukema, Ruurt, Hendrik J. Harms, Maarten J. Cramer, et al.. (2024). PET myocardial perfusion imaging: Trends, challenges, and opportunities. Journal of Nuclear Cardiology. 40. 102011–102011. 3 indexed citations

Rosengren, Sara, Tor Skibsted Clemmensen, Steen Hvitfeldt Poulsen, et al.. (2023). Outcome Prediction by Myocardial External Efficiency from 11C-Acetate Positron Emission Tomography in Cardiac Amyloidosis. ESC Heart Failure. 11(1). 44–53. 3 indexed citations

Harms, Hendrik J., Tor Skibsted Clemmensen, Sara Rosengren, et al.. (2023). Association of Right Ventricular Myocardial Blood Flow With Pulmonary Pressures and Outcome in Cardiac Amyloidosis. JACC. Cardiovascular imaging. 16(9). 1193–1204. 8 indexed citations

Sørensen, Jens Nørkær, Tomasz Baron, Tanja Kero, et al.. (2023). Myocardial External Efficiency in Asymptomatic Severe Primary Mitral Regurgitation Using¹¹C-Acetate PET. Journal of Nuclear Medicine. 64(4). 645–651.

Souza, Ana Carolina, Hendrik J. Harms, Courtney Bibbo, et al.. (2022). Accuracy and Reproducibility of Myocardial Blood Flow Quantification by Single Photon Emission Computed Tomography Imaging in Patients With Known or Suspected Coronary Artery Disease. Circulation Cardiovascular Imaging. 15(6). e013987–e013987. 20 indexed citations

Harms, Hendrik J., et al.. (2021). Functional cross-talk between phosphorylation and disease-causing mutations in the cardiac sodium channel Na _v 1.5. Proceedings of the National Academy of Sciences. 118(33). 13 indexed citations

Harms, Hendrik J., et al.. (2021). Influence of patient motion on quantitative accuracy in cardiac 15O-water positron emission tomography. Journal of Nuclear Cardiology. 29(4). 1742–1752. 2 indexed citations

Clemmensen, Tor Skibsted, Steen Hvitfeldt Poulsen, Brian Bridal Løgstrup, et al.. (2021). Right Ventricular Hemodynamics and Performance in Relation to Perfusion During First Year After Heart Transplantation. ESC Heart Failure. 8(5). 4018–4025. 4 indexed citations

10.

Johnson, Geoffrey B., et al.. (2020). PET Imaging of Tumor Perfusion: A Potential Cancer Biomarker?. Seminars in Nuclear Medicine. 50(6). 549–561. 11 indexed citations

11.

Khoo, Keith K., Federica Gasparri, Ralph Wieneke, et al.. (2020). Chemical modification of proteins by insertion of synthetic peptides using tandem protein trans-splicing. Nature Communications. 11(1). 2284–2284. 30 indexed citations

12.

Rosengren, Sara, Tor Skibsted Clemmensen, Lars Poulsen Tolbod, et al.. (2020). Diagnostic Accuracy of [11C]PIB Positron Emission Tomography for Detection of Cardiac Amyloidosis. JACC. Cardiovascular imaging. 13(6). 1337–1347. 60 indexed citations

13.

Waard, Guus A. de, Ibrahim Danad, Ricardo Petraco, et al.. (2018). Fractional flow reserve, instantaneous wave-free ratio, and resting Pd/Pa compared with [15O]H2O positron emission tomography myocardial perfusion imaging: a PACIFIC trial sub-study. European Heart Journal. 39(46). 4072–4081. 20 indexed citations

14.

Ashek, Ali, Onno A. Spruijt, Hendrik J. Harms, et al.. (2018). 3′-Deoxy-3′-[18F]Fluorothymidine Positron Emission Tomography Depicts Heterogeneous Proliferation Pathology in Idiopathic Pulmonary Arterial Hypertension Patient Lung. Circulation Cardiovascular Imaging. 11(8). e007402–e007402. 11 indexed citations

15.

Nielsen, Roni, Anders Jorsal, Peter Iversen, et al.. (2017). Effect of liraglutide on myocardial glucose uptake and blood flow in stable chronic heart failure patients: A double-blind, randomized, placebo-controlled LIVE sub-study. Journal of Nuclear Cardiology. 26(2). 585–597. 34 indexed citations

16.

Rijnierse, Mischa T., Cornelis P. Allaart, Stefan de Haan, et al.. (2016). NON-INVASIVE IMAGING TO IDENTIFY SUSCEPTIBILITY FOR VENTRICULAR ARRHYTHMIAS IN ISCHEMIC CARDIOMYOPATHY. Journal of the American College of Cardiology. 67(13). 1818–1818. 1 indexed citations

17.

Rijnierse, Mischa T., Cornelis P. Allaart, Stefan de Haan, et al.. (2015). SYMPATHETIC DENERVATION IS ASSOCIATED WITH MICROVASCULAR DYSFUNCTION IN NON-INFARCTED MYOCARDIUM IN PATIENTS WITH CARDIOMYOPATHY. Journal of the American College of Cardiology. 65(10). A1252–A1252. 5 indexed citations

18.

Rijnierse, Mischa T., Stefan de Haan, Hendrik J. Harms, et al.. (2014). IMPAIRED HYPEREMIC MYOCARDIAL BLOOD FLOW IS ASSOCIATED WITH INDUCIBILITY OF VENTRICULAR ARRHYTHMIA IN ISCHEMIC CARDIOMYOPATHY. Journal of the American College of Cardiology. 63(12). A1012–A1012. 2 indexed citations

19.

Danad, Ibrahim, Pieter G. Raijmakers, Hendrik J. Harms, et al.. (2012). Abstract 13150: Effect of Cardiac Hybrid 15o-water Pet/ct Imaging Upon Downstream Referral for Invasive Coronary Angiography and Revascularization Rate. Circulation. 126. 1 indexed citations

20.

Harms, Hendrik J., et al.. (1970). [Epidemiology and clinical aspects of primary vascular pulmonary hypertension. A report on 42 cases].. PubMed. 59(10). 887–91. 1 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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