J. Weipert

24 papers receiving 429 citations

Peers

J. Weipert
Comparison fields: 5 of 61
  • Epidemiology 196
  • Genetics 61
  • Hematology 51
  • Cardiology and Cardiovascular Medicine 88
  • Internal Medicine 10
Replace Toshio Kikuchi with:
Toshio Kikuchi Japan
György Acsády Hungary
Marco Morale Italy
D Pintigny France
Bojan Vujkovac Slovenia
Simon F. Stämpfli Switzerland
Mark Iwanochko Canada
A. Hurlet United States
Kazuyuki Shimada Japan
Enrique Bosch United States
J. Weipert relative to Toshio Kikuchi Japan Toshio Kikuchi's profile →
Citations per field
00.5×2.8×
Toshio Kikuchi · 1×
Citations per year

Countries citing papers authored by J. Weipert

Since Specialization
Citations

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

Fields of papers citing papers by J. Weipert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200490
2 200186
3 199131
4 199127
5 198927
6 199725
7 199325
8 199524
9 198823
10 199721
11
Uremic pneumonitis. Evidence for participation of proteolytic enzymes.
198415
12 198512
13 200410
14
Effect of the elastase inhibitor eglin C in porcine endotoxin shock.
19928
15
Therapeutic effects of the combination of two proteinase inhibitors in endotoxin shock of the pig.
19897
16 19867
17
Proteases and other catabolic factors in renal failure.
19876
18 20154
19
Endotoxin shock in the rat: reduction of arterial blood pressure fall by the bradykinin antagonist B4148.
19893
20 20032

About J. Weipert

J. Weipert is a scholar working on Surgery, Epidemiology, Genetics, Pulmonary and Respiratory Medicine and Hematology, having authored 26 papers that have together received 459 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Cardiac Structural Anomalies and Repair (3 papers), Immune Response and Inflammation (3 papers), Dialysis and Renal Disease Management (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Medical Imaging and Pathology Studies (1 paper) and Vitamin K Research Studies (1 paper). The work is most often cited by research in Epidemiology (196 citations), Genetics (61 citations), Hematology (51 citations), Cardiology and Cardiovascular Medicine (88 citations) and Internal Medicine (10 citations). J. Weipert has collaborated with scholars based in Germany, Greece and Japan. Frequent co-authors include Matthias Siebeck, Rüediger Lange, H. Meisner, K Holper, N. Mendler, John Hess, Christian Schreiber, Martin Kostolny, Bernhard Zrenner and Eric T. Whalley. Their work appears in journals such as Advances in experimental medicine and biology, Journal of Thoracic and Cardiovascular Surgery, The Annals of Thoracic Surgery, Journal of Molecular Medicine and European Journal of Cardio-Thoracic Surgery.

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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