Mark Lankisch

36 papers receiving 1.0k citations

Peers

Mark Lankisch
Comparison fields: 5 of 78
  • Cardiology and Cardiovascular Medicine 359
  • Endocrinology, Diabetes and Metabolism 242
  • Rheumatology 72
  • Surgery 155
  • Obstetrics and Gynecology 26
Replace Changchun Qiu with:
Changchun Qiu China
Lorenzo Nesti Italy
Dominik Skiba Poland
Αntonios Lazaridis Greece
Grzegorz Osmenda Poland
Celina Wojciechowska Poland
Jérémy Lagrange France
Delphine Martin France
Ricardo A. Peña Silva Colombia
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Citations per field
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Citations per year

Countries citing papers authored by Mark Lankisch

Since Specialization
Citations

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

Fields of papers citing papers by Mark Lankisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Lankisch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Lankisch Line = papers co-authored together Mark Lankisch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009125
2 2008101
3 200995
4 201071
5 200155
6 199850
7 201041
8 201039
9 201038
10 200838
11 200438
12 200837
13 201132
14 200631
15
Fator de diferenciação de crescimento 15: um novo biomarcador em pacientes com disfunção diastólica?
201128
16 201027
17 201125
18 200224
19 201123
20 200922

About Mark Lankisch

Mark Lankisch is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Infectious Diseases, Surgery and Molecular Biology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Parvovirus B19 Infection Studies (3 papers), Nutrition and Health in Aging (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Pancreatitis Pathology and Treatment (2 papers), GDF15 and Related Biomarkers (2 papers), Nuclear Structure and Function (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (359 citations), Endocrinology, Diabetes and Metabolism (242 citations), Rheumatology (72 citations), Surgery (155 citations) and Obstetrics and Gynecology (26 citations). Mark Lankisch has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Reiner Füth, Wilfried Dinh, Thomas Scheffold, Werner Nickl, Werner A. Scherbaum, Michael Coll Barroso, Thomas Krahn, Eugene P. DiMagno, Alexander Bufe and Klaus Ferlinz. Their work appears in journals such as Cardiovascular Diabetology, BMC Cardiovascular Disorders, Clinical Research in Cardiology, Experimental and Clinical Endocrinology & Diabetes and Mayo Clinic Proceedings.

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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