Erwin Lankes

20 papers receiving 407 citations

Peers

Erwin Lankes
Comparison fields: 5 of 57
  • Clinical Biochemistry 63
  • Endocrinology, Diabetes and Metabolism 74
  • Nephrology 30
  • Endocrine and Autonomic Systems 23
  • Genetics 83
Replace Keisuke Ina with:
Keisuke Ina Japan
Pamela Ghosh United States
Jane-Ming Lin Taiwan
Aditi Gupta India
Elisabetta Ponte Italy
Mariateresa Falco Italy
Giulia Bortolussi Italy
Eman Khatib-Massalha Israel
Tarnjit K. Khera United Kingdom
Maria Pefkianaki United Kingdom
Erwin Lankes relative to Keisuke Ina Japan Keisuke Ina's profile →
Citations per field
00.5×2×4×5.4×
Keisuke Ina · 1×
Citations per year

Countries citing papers authored by Erwin Lankes

Since Specialization
Citations

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

Fields of papers citing papers by Erwin Lankes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Erwin Lankes, 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 Erwin Lankes Line = papers co-authored together Erwin Lankes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200698
2 202178
3 201848
4 201327
5 201725
6 201624
7 202222
8 202120
9 202116
10 201913
11 201112
12 20147
13 20216
14 20234
15
In-vivo bacterial adherence to intracardiac prosthetic materials: a new experimental model.
20024
16 20234
17 20184
18 20153
19 20251
20 20181

About Erwin Lankes

Erwin Lankes is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Neurology, Genetics and Developmental Biology, having authored 20 papers that have together received 417 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (3 papers), Diabetes and associated disorders (2 papers), Parathyroid Disorders and Treatments (2 papers), Neuroblastoma Research and Treatments (2 papers), Cancer Genomics and Diagnostics (1 paper), COVID-19 Clinical Research Studies (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Clinical Biochemistry (63 citations), Endocrinology, Diabetes and Metabolism (74 citations), Nephrology (30 citations), Endocrine and Autonomic Systems (23 citations) and Genetics (83 citations). Erwin Lankes has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Dirk Schnabel, Martin S. Lindner, René Santer, Klaus E. Gempel, Martin M. Burdelski, Johannes H. Spalinger, Thomas M. Berger, Rita Horváth, Oliver Blankenstein and Peter Freisinger. Their work appears in journals such as Child s Nervous System, The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Experimental and Clinical Endocrinology & Diabetes and Journal of Perinatology.

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.

Explore authors with similar magnitude of impact