Joerg Grimm

468 total citations
8 papers, 349 citations indexed

About

Joerg Grimm is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Joerg Grimm has authored 8 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Joerg Grimm's work include Cardiac Imaging and Diagnostics (5 papers), Cardiovascular Function and Risk Factors (5 papers) and Pulmonary Hypertension Research and Treatments (2 papers). Joerg Grimm is often cited by papers focused on Cardiac Imaging and Diagnostics (5 papers), Cardiovascular Function and Risk Factors (5 papers) and Pulmonary Hypertension Research and Treatments (2 papers). Joerg Grimm collaborates with scholars based in Switzerland, Netherlands and United States. Joerg Grimm's co-authors include Hans P. Krayenbuehl, Otto M. Hess, Patrick W. Serruys, Paul G. Hugenholtz, Cornelis J. Slager, William Wijns, Otto N. Krogmann, Bruno Villari, Philipp A. Kaufmann and William J. Corin and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and Coronary Artery Disease.

In The Last Decade

Joerg Grimm

8 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joerg Grimm Switzerland	7	299	196	62	51	41	8	349
John C. Wynsen United States	9	268 0.9×	212 1.1×	88 1.4×	25 0.5×	22 0.5×	17	333
Kiyomichi Yoshimaru Japan	8	271 0.9×	65 0.3×	70 1.1×	29 0.6×	47 1.1×	17	323
Hiromi Sassa Japan	9	216 0.7×	144 0.7×	117 1.9×	21 0.4×	20 0.5×	25	312
Stephen J. Gulotta United States	11	363 1.2×	95 0.5×	117 1.9×	26 0.5×	52 1.3×	26	437
G Paolini Italy	10	183 0.6×	168 0.9×	114 1.8×	49 1.0×	35 0.9×	23	345
G. Di Credico Italy	9	216 0.7×	202 1.0×	156 2.5×	31 0.6×	25 0.6×	18	342
Bolling J. Feild United States	6	370 1.2×	199 1.0×	144 2.3×	30 0.6×	22 0.5×	9	422
Masashi Kambayashi Japan	12	461 1.5×	102 0.5×	86 1.4×	23 0.5×	30 0.7×	16	506
Nitha Naqvi United Kingdom	9	232 0.8×	72 0.4×	65 1.0×	12 0.2×	35 0.9×	18	297
W. Carter Grinstead United States	9	291 1.0×	174 0.9×	238 3.8×	29 0.6×	46 1.1×	13	411

Countries citing papers authored by Joerg Grimm

Since Specialization

Citations

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

Fields of papers citing papers by Joerg Grimm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joerg Grimm

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

All Works

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8 of 8 papers shown

Vassalli, Giuseppe, et al.. (1994). Clinical significance of coronary flow reserve. Coronary Artery Disease. 5(4). 347–358. 9 indexed citations

Vassalli, Giuseppe, Otto M. Hess, Otto N. Krogmann, et al.. (1993). Is atrial pacing needed for determination of coronary flow reserve by parametric imaging?. The American Journal of Cardiology. 71(5). 415–419. 4 indexed citations

Villari, Bruno, Otto M. Hess, Philipp A. Kaufmann, et al.. (1992). Effect of aortic valve stenosis (pressure overload) and regurgitation (volume overload) on left ventricular systolic and diastolic function. The American Journal of Cardiology. 69(9). 927–934. 78 indexed citations

Heywood, J. Thomas, et al.. (1991). Right ventricular systolic function during exercise with and without significant coronary artery disease. The American Journal of Cardiology. 67(8). 681–686. 7 indexed citations

Heywood, J. Thomas, et al.. (1990). Right ventricular diastolic function-during exercise: Effect of ischemia. Journal of the American College of Cardiology. 16(3). 611–622. 14 indexed citations

Nonogi, Hiroshi, Otto M. Hess, Manfred Ritter, et al.. (1988). Prevention of coronary vasoconstriction by diltiazem during dynamic exercise in patients with coronary artery disease. Journal of the American College of Cardiology. 12(4). 892–899. 16 indexed citations

Gaglione, Antonio, Otto M. Hess, William J. Corin, et al.. (1987). Is there coronary vasoconstriction after intracoronary beta-adrenergic blockade in patients with coronary artery disease. Journal of the American College of Cardiology. 10(2). 299–310. 42 indexed citations

Wijns, William, Patrick W. Serruys, Cornelis J. Slager, et al.. (1986). Effect of coronary occlusion during percutaneous transluminal angioplasty in humans on left ventricular chamber stiffness and regional diastolic pressure-radius relations. Journal of the American College of Cardiology. 7(3). 455–463. 179 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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