M. Killich

426 total citations
10 papers, 314 citations indexed

About

M. Killich is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M. Killich has authored 10 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M. Killich's work include Cardiovascular Conditions and Treatments (6 papers), Cardiovascular Function and Risk Factors (4 papers) and Cardiovascular Disease and Adiposity (3 papers). M. Killich is often cited by papers focused on Cardiovascular Conditions and Treatments (6 papers), Cardiovascular Function and Risk Factors (4 papers) and Cardiovascular Disease and Adiposity (3 papers). M. Killich collaborates with scholars based in Germany, Switzerland and Hungary. M. Killich's co-authors include Gerhard Wess, Katrin Hartmann, Daniela Simón, N. Eberle, Ingo Nölte, Johannes Hirschberger, Anja Schulze, Jan‐Gerd Kresken, Ralph Wendt and Alexander Bauer and has published in prestigious journals such as Journal of Veterinary Internal Medicine, Journal of Veterinary Cardiology and Tierärztliche Praxis Ausgabe K Kleintiere / Heimtiere.

In The Last Decade

M. Killich

9 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Killich Germany 7 136 130 130 95 82 10 314
R. Nichols United States 7 108 0.8× 168 1.3× 51 0.4× 76 0.8× 15 0.2× 12 326
Tom Van Winkle United States 5 79 0.6× 33 0.3× 33 0.3× 13 0.1× 25 0.3× 5 143
Nathaniel C. Myers United States 11 186 1.4× 7 0.1× 25 0.2× 136 1.4× 76 0.9× 11 334
Mifumi Kawabe Japan 10 142 1.0× 6 0.0× 14 0.1× 64 0.7× 32 0.4× 26 241
Maria Josefa Fernández‐Del Palacio Spain 8 35 0.3× 86 0.7× 23 0.2× 9 0.1× 11 0.1× 14 231
Silvia Vannini Italy 6 54 0.4× 43 0.3× 142 1.1× 13 0.1× 8 0.1× 9 284
Toshikazu Yagi Japan 12 30 0.2× 275 2.1× 77 0.6× 5 0.1× 11 0.1× 31 408
S. Haney United States 5 125 0.9× 15 0.1× 4 0.0× 69 0.7× 47 0.6× 8 160
F Granel France 10 64 0.5× 17 0.1× 17 0.1× 10 0.1× 6 0.1× 23 258
Marie-Christine Copin France 5 57 0.4× 70 0.5× 17 0.1× 2 0.0× 17 0.2× 6 194

Countries citing papers authored by M. Killich

Since Specialization
Citations

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

Fields of papers citing papers by M. Killich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Killich

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

All Works

10 of 10 papers shown
1.
Wess, Gerhard, Jan‐Gerd Kresken, Ralph Wendt, et al.. (2020). Efficacy of adding ramipril (VAsotop) to the combination of furosemide (Lasix) and pimobendan (VEtmedin) in dogs with mitral valve degeneration: The VALVE trial. Journal of Veterinary Internal Medicine. 34(6). 2232–2241. 25 indexed citations
2.
Killich, M.. (2014). Die feline hypertrophe Kardiomyopathie. 24(3). 99–106. 1 indexed citations
3.
Killich, M., et al.. (2011). Color-coded longitudinal interventricular septal tissue velocity imaging, strain and strain rate in healthy Doberman Pinschers. Journal of Veterinary Cardiology. 13(1). 1–11. 7 indexed citations
4.
Killich, M., Katrin Hartmann, & Gerhard Wess. (2011). Messung der myokardialen Geschwindigkeit mittels Gewebe-Doppler beim gesunden Hund. Tierärztliche Praxis Ausgabe K Kleintiere / Heimtiere. 39(2). 69–78. 6 indexed citations
6.
Killich, M., Katrin Hartmann, & Gerhard Wess. (2011). [Measuring myocardial velocity using tissue Doppler imaging in healthy dogs].. PubMed. 39(2). 69–78. 4 indexed citations
7.
Wess, Gerhard, M. Killich, & Katrin Hartmann. (2010). Comparison of Pulsed Wave and Color Doppler Myocardial Velocity Imaging in Healthy Dogs. Journal of Veterinary Internal Medicine. 24(2). 360–366. 15 indexed citations
8.
Wess, Gerhard, et al.. (2010). Prevalence of Dilated Cardiomyopathy in Doberman Pinschers in Various Age Groups. Journal of Veterinary Internal Medicine. 24(3). 533–538. 78 indexed citations
9.
Simón, Daniela, et al.. (2006). Treatment of Dogs with Lymphoma Using a 12-week, Maintenance-Free Combination Chemotherapy Protocol. Journal of Veterinary Internal Medicine. 20(4). 948–948. 73 indexed citations
10.
Simón, Daniela, et al.. (2006). Treatment of Dogs with Lymphoma Using a 12-Week, Maintenance-Free Combination Chemotherapy Protocol. Journal of Veterinary Internal Medicine. 20(4). 948–954. 74 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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