Gattas Nasser

682 citations
6 papers · 519 indexed · h-index 6
Topics
Liver Disease Diagnosis and Treatment (4 papers)Diet, Metabolism, and Disease (2 papers)Medical Imaging and Pathology Studies (2 papers)
Journals
SHILAP Revista de lepidopterologíaWorld Journal of GastroenterologyDigestive Surgery
Partner nations
IsraelSpain

In The Last Decade

Gattas Nasser

6 papers receiving 495 citations

Peers

Gattas Nasser
Comparison fields: 5 of 79
  • Epidemiology 351
  • Endocrinology, Diabetes and Metabolism 259
  • Physiology 163
  • Hepatology 109
  • Pathology and Forensic Medicine 75
Replace M.V. D’Auria with:
M.V. D’Auria Italy
Tadeja Pintar Slovenia
Maria Grosovski Israel
Elizabeth L. Yu United States
Juna V. Konomi United States
Stefan Strahl Germany
Sean Koppe United States
Sanja Stojsavljević Croatia
Katherine J. P. Schwenger Canada
Maribel Lizarzábal Venezuela
Gattas Nasser relative to M.V. D’Auria Italy M.V. D’Auria's profile →
Citations per field
00.5×3.1×
M.V. D’Auria · 1×
Citations per year

Countries citing papers authored by Gattas Nasser

Since Specialization
Citations

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

Fields of papers citing papers by Gattas Nasser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gattas Nasser

This figure shows the co-authorship network connecting the top 25 collaborators of Gattas Nasser. A scholar is included among the top collaborators of Gattas Nasser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gattas Nasser. Gattas Nasser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 136
2 19
3 86
4 262
5
[Parathyroid cyst associated with acute respiratory failure and jugular vein thrombosis].
5
6 11

About Gattas Nasser

Gattas Nasser is a scholar working on Microbiology, Hepatology and Epidemiology, having authored 6 papers that have together received 519 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Diet, Metabolism, and Disease (2 papers) and Medical Imaging and Pathology Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (259 citations), Microbiology (11 citations) and Hepatology (109 citations). Gattas Nasser has collaborated with scholars based in Israel and Spain. Frequent co-authors include Nimer Assy, Maria Grosovski, A. Djibre, William Nseir, Faris Nassar, Jamal Zidan, Norman Loberant and Isaac Cohen. Their work appears in journals such as SHILAP Revista de lepidopterología, World Journal of Gastroenterology and Digestive 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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