Daniel Eyraud

2.4k citations
53 papers · 1.6k · h-index 24

Impact in

Papers in

    • Organ Transplantation Techniques and Outcomes 14
    • Hemodynamic Monitoring and Therapy 7
    • Liver Disease and Transplantation 13

Daniel Eyraud

52 papers receiving 1.5k citations

Peers

Daniel Eyraud
Comparison fields: 5 of 96
  • Hepatology 383
  • Transplantation 63
  • Critical Care and Intensive Care Medicine 102
  • Cardiology and Cardiovascular Medicine 306
  • Anesthesiology and Pain Medicine 70
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Citations per year

Countries citing papers authored by Daniel Eyraud

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Eyraud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995167
2 2005155
3 1994133
4 1999124
5 201286
6 200769
7 201767
8 199960
9 200348
10 199947
11 201543
12 199942
13 201840
14 201139
15
Randomized controlled trial of acyclovir for the prevention of cytomegalovirus infection and disease in liver transplant recipients.
199338
16 200236
17 199936
18 200032
19 200132
20 199528

About Daniel Eyraud

Daniel Eyraud is a scholar working on Surgery, Hepatology, Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (14 papers), Liver Disease and Transplantation (13 papers), Cardiac, Anesthesia and Surgical Outcomes (10 papers), Hemodynamic Monitoring and Therapy (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Renal Transplantation Outcomes and Treatments (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Electrolyte and hormonal disorders (2 papers). The work is most often cited by research in Hepatology (383 citations), Transplantation (63 citations), Critical Care and Intensive Care Medicine (102 citations), Cardiology and Cardiovascular Medicine (306 citations) and Anesthesiology and Pain Medicine (70 citations). Daniel Eyraud has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Pierre Coriat, Michèle Bertrand, M. Bertrand, L Hannoun, Henri Bismuth, Jean‐Jacques Rouby, G. Godet, Charles Marc Samama, Ashley R. Dennison and D. Castaing. Their work appears in journals such as Anesthesia & Analgesia, Anesthesiology, American Journal of Transplantation, Clinical Transplantation and Critical Care.

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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