Richard G. Bach

174 papers receiving 6.1k citations

Hit Papers

Baseline Risk of Major Bleeding in Non–ST-Segment–Elevati...2006202620122019200920062019200400600

Peers

Richard G. Bach
Comparison fields: 5 of 128
  • Cardiology and Cardiovascular Medicine 4.4k
  • Surgery 3.6k
  • Radiology, Nuclear Medicine and Imaging 2.1k
  • Biomedical Engineering 816
  • Pulmonary and Respiratory Medicine 729
Replace Hussein R. Al‐Khalidi with:
Hussein R. Al‐Khalidi United States
François Schiele France
Madhu K. Natarajan Canada
Pascal Guéret France
William O. Suddath United States
Petr Widimský Czechia
Vladimír Džavík Canada
K. Martijn Akkerhuis Netherlands
Ulrich Tebbe Germany
John G. Byrne United States
Richard G. Bach relative to Hussein R. Al‐Khalidi United States Hussein R. Al‐Khalidi's profile →
Citations per field
00.5×1.5×2.2×
Hussein R. Al‐Khalidi · 1×
Citations per year

Countries citing papers authored by Richard G. Bach

Since Specialization
Citations

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

Fields of papers citing papers by Richard G. Bach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard G. Bach. 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 Richard G. Bach. The network helps show where Richard G. Bach may publish in the future.

Co-authorship network of co-authors of Richard G. Bach

This figure shows the co-authorship network connecting the top 25 collaborators of Richard G. Bach. A scholar is included among the top collaborators of Richard G. Bach 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 Richard G. Bach. Richard G. Bach 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
#WorkIndexed citations
1 11
2 21
3 19
4 8
5
The Evolving Landscape of Impella Use in the United States Among Patients Undergoing Percutaneous Coronary Intervention With Mechanical Circulatory Supportbreakdown →
244
6 44
7 30
8 1
9 4
10 133
11 11
12 2
13 172
14 12
15 5
16 2
17 1
18 9
19 21
20 5

About Richard G. Bach

Richard G. Bach is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 179 papers that have together received 6.3k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (87 papers), Cardiac Imaging and Diagnostics (82 papers) and Acute Myocardial Infarction Research (36 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.4k citations), Internal Medicine (405 citations) and Radiology, Nuclear Medicine and Imaging (2.1k citations). Richard G. Bach has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Morton J. Kern, Thomas J. Donohue, Frank V. Aguirre, John A. Spertus, Eugene A. Caracciolo, Thomas Wolford, Tracy Y. Wang, Sunil V. Rao, Karen P. Alexander and Philip G. Jones. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and The Journal of Experimental Medicine.

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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