Saeede Saadati

869 citations
41 papers · 652 · h-index 14

Impact in

Papers in

    • Biochemical effects in animals 7
    • Diet and metabolism studies 4
    • Liver Disease Diagnosis and Treatment 7

Saeede Saadati

37 papers receiving 643 citations

Peers

Saeede Saadati
Comparison fields: 5 of 76
  • Molecular Medicine 140
  • Gastroenterology 69
  • Physiology 215
  • Hepatology 64
  • Endocrinology, Diabetes and Metabolism 113
Replace Davood Soleimani with:
Davood Soleimani Iran
Pezhman Alavine­jad Iran
Vahideh Behrouz Iran
Lívia Alvarenga Brazil
Mahyar Khazaeli United States
Kunissery A. Balasubramanian India
Juhui Zhao China
Mohammad Jalali Iran
Bülent Kantarçeken Türkiye
Asadur Rahman Japan
Saeede Saadati relative to Davood Soleimani Iran Davood Soleimani's profile →
Citations per field
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Davood Soleimani · 1×
Citations per year

Countries citing papers authored by Saeede Saadati

Since Specialization
Citations

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

Fields of papers citing papers by Saeede Saadati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019129
2 201989
3 202058
4 202238
5 202237
6 202133
7 202231
8 202227
9 201920
10
Comparing different non-invasive methods in assessment of the effects of curcumin on hepatic fibrosis in patients with non-alcoholic fatty liver disease.
201819
11 202316
12 202314
13 202214
14 202313
15 202212
16 20239
17 20228
18 20257
19 20237
20 20237

About Saeede Saadati

Saeede Saadati is a scholar working on Physiology, Epidemiology, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 652 indexed citations. Recurring topics across this work include Biochemical effects in animals (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Gallbladder and Bile Duct Disorders (6 papers), Pancreatitis Pathology and Treatment (5 papers), Gut microbiota and health (5 papers), Gastrointestinal motility and disorders (4 papers), Human Health and Disease (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Molecular Medicine (140 citations), Gastroenterology (69 citations), Physiology (215 citations), Hepatology (64 citations) and Endocrinology, Diabetes and Metabolism (113 citations). Saeede Saadati has collaborated with scholars based in Iran, Australia and Italy. Frequent co-authors include Zahra Yari, Azita Hekmatdoost, Amir Sadeghi, Mehdi Hedayati, Behzad Hatami, Kaveh Naseri, Asieh Mansour, Hossein Poustchi, Omid Asbaghi and Barbora de Courten. Their work appears in journals such as Nutrients, BMC Gastroenterology, Obesity Reviews, Frontiers in Nutrition and Pharmacological Research.

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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