M. Lorenz

1.5k citations
52 papers · 1.1k · h-index 17

Impact in

Papers in

M. Lorenz

50 papers receiving 1.1k citations

Peers

M. Lorenz
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 401
  • Hematology 135
  • Internal Medicine 32
  • Neurology 110
  • Pharmacology 90
Replace Hideki Doi with:
Hideki Doi Japan
Terrance D. Barrett United States
Lawrence de Garavilla United States
Danshi Li United States
Thomas A. Morinelli United States
Katherine E. Harris United States
Wolfram Steinke Germany
Holger Huisman Germany
Vlad G. Zaha United States
J T Harmon United States
M. Lorenz relative to Hideki Doi Japan Hideki Doi's profile →
Citations per field
00.5×4.5×
Hideki Doi · 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 2013123
2 2017121
3 200599
4 201396
5 199095
6 201790
7 200950
8 201044
9 201841
10 201831
11 200825
12 200323
13 200423
14 200720
15 201819
16 200417
17 201016
18 200316
19 200415
20 199814

About M. Lorenz

M. Lorenz is a scholar working on Hematology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Surgery and Neurology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Dialysis and Renal Disease Management (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Vitamin K Research Studies (3 papers) and Anesthesia and Sedative Agents (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (401 citations), Hematology (135 citations), Internal Medicine (32 citations), Neurology (110 citations) and Pharmacology (90 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, Michael Horowitz, Herman Schreuder, R. H. A. Becker, Peter Ruus and Hartmut Rütten. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Diabetes Obesity and Metabolism, Thrombosis and Haemostasis and BioDrugs.

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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