G. Fischer

25 papers receiving 1.8k citations

Hit Papers

Cardiac-Specific Troponin I Levels to Predict the Risk of...199620262006201619964008001.2k

Peers

G. Fischer
Comparison fields: 5 of 117
  • Cardiology and Cardiovascular Medicine 1.2k
  • Radiology, Nuclear Medicine and Imaging 704
  • Surgery 457
  • Endocrinology, Diabetes and Metabolism 353
  • Molecular Biology 185
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Kor Miedema Netherlands
Gregory L. Pearce United States
Jyri Toikka Finland
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G. Fischer relative to Kor Miedema Netherlands Kor Miedema's profile →
Citations per field
00.5×1.5×1.9×
Kor Miedema · 1×
Citations per year

Countries citing papers authored by G. Fischer

Since Specialization
Citations

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

Fields of papers citing papers by G. Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Fischer

This figure shows the co-authorship network connecting the top 25 collaborators of G. Fischer. A scholar is included among the top collaborators of G. Fischer 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 G. Fischer. G. Fischer 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
1 358
2 2
3 2
4 20
5 2
6 22
7 47
8 26
9
Identification of Doppler microembolic signals with a bigate probe in patients with prosthetic heart valves.
4
10
Cardiac-Specific Troponin I Levels to Predict the Risk of Mortality in Patients with Acute Coronary Syndromesbreakdown →
1291
11
[Dipeptidylpeptidase activities in brain and nerve tissue in man].
1
12
Inhibition of lymphocyte function in rats fed higher-fat diets.
63
13
[Positive and negative ions influence on the activity of the adrenal cortex (author's transl)].
1
14
[Bacterial kininases and their physiological importance. I. Studies on Clostridia strains].
2
15 11
16 1
17 6
18 20
19 62
20 5

About G. Fischer

G. Fischer is a scholar working on Toxicology, Spectroscopy and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 2.0k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Acute Myocardial Infarction Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Radiology, Nuclear Medicine and Imaging (704 citations) and Internal Medicine (88 citations). G. Fischer has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Milenko J. Tanasijevic, Christopher P. Cannon, Eugene Braunwald, Donald R. Wybenga, Elliott M. Antman, Carolyn H. McCabe, Mark Schactman, Christopher Thompson, Anthony Fung and Bruce Thompson. Their work appears in journals such as New England Journal of Medicine, Journal of the American College of Cardiology and American Sociological Review.

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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