Eberhard Spanuth

1k citations
34 papers · 825 · h-index 15

Impact in

Papers in

Eberhard Spanuth

33 papers receiving 785 citations

Peers

Eberhard Spanuth
Comparison fields: 5 of 58
  • Internal Medicine 30
  • Epidemiology 308
  • Cardiology and Cardiovascular Medicine 199
  • Hematology 70
  • Obstetrics and Gynecology 42
Replace Lorenzo González-Lavin with:
Lorenzo González-Lavin United States
Lee E. Edstrom United States
Irith Hadas‐Halpern Israel
Angelo Antonio Bignamini Italy
Tayfun Uçar Türkiye
Sumaya Teli United States
James P Herlihy United States
Alessandra Ines Maria Colombo Italy
Anthony L. Moulton United States
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Citations per year

Countries citing papers authored by Eberhard Spanuth

Since Specialization
Citations

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

Fields of papers citing papers by Eberhard Spanuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014195
2 201976
3 201569
4 201764
5 200059
6 200446
7 199341
8 200741
9 201232
10 201225
11 201722
12 201320
13 201620
14
Quantitative bedside testing of troponin T: is it equal to laboratory testing? The Cardiac Reader Troponin T (CARE T) study.
200419
15 202115
16 199212
17 200812
18 19909
19 19919
20 20077

About Eberhard Spanuth

Eberhard Spanuth is a scholar working on Cardiology and Cardiovascular Medicine, Hematology, Internal Medicine, Epidemiology and Physiology, having authored 34 papers that have together received 825 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (8 papers), Sepsis Diagnosis and Treatment (7 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers), Heart Failure Treatment and Management (5 papers), Blood properties and coagulation (4 papers), Clinical Laboratory Practices and Quality Control (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Internal Medicine (30 citations), Epidemiology (308 citations), Cardiology and Cardiovascular Medicine (199 citations), Hematology (70 citations) and Obstetrics and Gynecology (42 citations). Eberhard Spanuth has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Evangelos Giannitsis, Roberto Latini, Serge Masson, Boris Ivandic, Pietro Caironi, Luciano Gattinoni, Georg Heß, Ralf Thomae, Lothar Heilmann and Marilena Romero. Their work appears in journals such as Critical Care, Clinical Chemistry and Laboratory Medicine (CCLM), Clinical Chemistry, Thrombosis Research and Thrombosis and Haemostasis.

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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