A. Gatt

19 papers receiving 906 citations

Peers

A. Gatt
Comparison fields: 5 of 69
  • Hepatology 302
  • Internal Medicine 119
  • Hematology 193
  • Critical Care and Intensive Care Medicine 78
  • Epidemiology 190
Replace Maarten Knechtelsdorfer with:
Maarten Knechtelsdorfer Austria
Jørn Dalsgaard Nielsen Denmark
Valeri Cr United States
Mark S. D'Almeida Canada
Nobuyuki Masaki Japan
Toshiyuki Sakata Japan
Στέργιος Σουλαϊδόπουλος Greece
C. Kluft Netherlands
Tadeusz Wróblewski Poland
Susan C. Fox United Kingdom
A. Gatt relative to Maarten Knechtelsdorfer Austria Maarten Knechtelsdorfer's profile →
Citations per field
00.5×5×10×14.4×
Maarten Knechtelsdorfer · 1×
Citations per year

Countries citing papers authored by A. Gatt

Since Specialization
Citations

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

Fields of papers citing papers by A. Gatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009217
2 2008172
3 2010141
4 201086
5 200883
6 201647
7 200838
8 200733
9 200924
10 200823
11 202418
12 202310
13 201210
14 20178
15 20236
16 20245
17 20092
18 20122
19 20221
20 20100

About A. Gatt

A. Gatt is a scholar working on Hematology, Cardiology and Cardiovascular Medicine, Internal Medicine, Hepatology and Molecular Biology, having authored 21 papers that have together received 926 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (6 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Liver Disease and Transplantation (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Liver Disease Diagnosis and Treatment (2 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Hepatology (302 citations), Internal Medicine (119 citations), Hematology (193 citations), Critical Care and Intensive Care Medicine (78 citations) and Epidemiology (190 citations). A. Gatt has collaborated with scholars based in United Kingdom, Malta and United States. Frequent co-authors include Michael Makris, Joost J. van Veen, Emmanuel Tsochatzis, Giacomo Germani, Marco Senzolo, Andrew K. Burroughs, Anne Riddell, Koichi Iijima, Kanae Iijima‐Ando and Edward G. D. Tuddenham. Their work appears in journals such as Journal of Thrombosis and Haemostasis, British Journal of Haematology, Research and Practice in Thrombosis and Haemostasis, Human Molecular Genetics and European Heart Journal.

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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