M. Lorenz

50 papers receiving 1.1k citations

Peers

M. Lorenz
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 436
  • Hematology 140
  • Internal Medicine 40
  • Neurology 130
  • Cellular and Molecular Neuroscience 129
Replace Héctor De León with:
Héctor De León United States
Danshi Li United States
Hideki Doi Japan
Sarah R. Bujac United Kingdom
Katsufumi Mizushige Japan
Lawrence de Garavilla United States
Kun Zhou China
Talin Ebrahimian Canada
Toshio Hashimoto Japan
Timothy Mant United Kingdom
M. Lorenz relative to Héctor De León United States Héctor De León's profile →
Citations per field
00.5×4.8×
Héctor De León · 1×
Citations per year

Countries citing papers authored by M. Lorenz

Since Specialization
Citations

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

Fields of papers citing papers by M. Lorenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013122
2 2017113
3 200596
4 199095
5 201395
6 201789
7 200950
8 201044
9 201840
10 201830
11 200825
12 200323
13 200422
14 200719
15 201819
16 200417
17 201016
18 200316
19 200415
20 201114

About M. Lorenz

M. Lorenz is a scholar working on Hematology, Anesthesiology and Pain Medicine, Endocrinology, Diabetes and Metabolism, Dermatology and Internal Medicine, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (10 papers), Diabetes Treatment and Management (9 papers), Diabetes Management and Research (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Vitamin K Research Studies (3 papers), Anesthesia and Sedative Agents (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (436 citations), Hematology (140 citations), Internal Medicine (40 citations), Neurology (130 citations) and Cellular and Molecular Neuroscience (129 citations). M. Lorenz has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Michael Wagner, Andreas Evers, M. R. Gaab, Hans E. Heissler, Volker Laux, Herman Schreuder, Peter Ruus, R. H. A. Becker, Michael Horowitz and Hartmut Rütten. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Thrombosis and Haemostasis, Diabetes Obesity and Metabolism and Journal of Neurosurgical Anesthesiology.

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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