Matthew Grounds

12 papers receiving 458 citations

Peers

Matthew Grounds
Comparison fields: 5 of 51
  • Critical Care and Intensive Care Medicine 58
  • Cardiology and Cardiovascular Medicine 189
  • Surgery 324
  • Anesthesiology and Pain Medicine 34
  • Nephrology 45
Replace Ivan Chytra with:
Ivan Chytra Czechia
Mark E. Leithe United States
F. Fleischer Germany
Zeki Ertuğ Türkiye
Peirre Coriat France
Peter Kiefer Germany
Ravi Agarwala United States
Luc De Baerdemaeker Belgium
Shrijit Nair United Kingdom
Nathaen S. Weitzel United States
Matthew Grounds relative to Ivan Chytra Czechia Ivan Chytra's profile →
Citations per field
00.5×1.5×2×2.3×
Ivan Chytra · 1×
Citations per year

Countries citing papers authored by Matthew Grounds

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Grounds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2002355
2 200962
3 199240
4 196010
5 20249
6 20116
7 20123
8 20133
9 20153
10 20121
11 20091
12 20131
13 20130

About Matthew Grounds

Matthew Grounds is a scholar working on Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine, Surgery, Epidemiology and Anesthesiology and Pain Medicine, having authored 13 papers that have together received 494 indexed citations. Recurring topics across this work include Hemodynamic Monitoring and Therapy (6 papers), Sepsis Diagnosis and Treatment (3 papers), Blood Pressure and Hypertension Studies (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Diphtheria, Corynebacterium, and Tetanus (1 paper), Biomarkers in Disease Mechanisms (1 paper) and Liver Disease and Transplantation (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (58 citations), Cardiology and Cardiovascular Medicine (189 citations), Surgery (324 citations), Anesthesiology and Pain Medicine (34 citations) and Nephrology (45 citations). Matthew Grounds has collaborated with scholars based in United Kingdom, Spain and Egypt. Frequent co-authors include Patricia M. Richardson, Richard Venn, Aaron Paul Steele, Jan Dominik Poloniecki, Philip J. Newman, Mary L. Price, J. N. Cashman, Sarah Jane Thomson, Iain G. Johnston and Matthew L. Cowan. Their work appears in journals such as Critical Care, British Journal of Anaesthesia, Journal of Hepatology, International Journal of Molecular Sciences and Intensive Care Medicine.

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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