Alessandro Saba

3.3k citations
114 papers · 2.4k · h-index 26

Impact in

Papers in

Alessandro Saba

113 papers receiving 2.4k citations

Peers

Alessandro Saba
Comparison fields: 5 of 133
  • Endocrinology, Diabetes and Metabolism 662
  • Analytical Chemistry 202
  • Spectroscopy 286
  • Pathology and Forensic Medicine 281
  • Biochemistry 75
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Tao Bo China
Bong Chul Chung South Korea
Ping Xiang China
Valerio Leoni Italy
Ismo Mattila Finland
Yasumasa Iwasaki Japan
Michael Rothe Germany
Paul Begley United Kingdom
Pavel A. Aronov United States
Chunxiu Hu China
Alessandro Saba relative to Tao Bo China Tao Bo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Alessandro Saba

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Saba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003287
2 2020199
3 2010105
4 201082
5 201771
6 201168
7 201668
8 201258
9 201149
10 201047
11 201444
12 201242
13 201438
14 200538
15 201836
16 200635
17 201235
18 201533
19 201432
20 200532

About Alessandro Saba

Alessandro Saba is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Physiology and Nutrition and Dietetics, having authored 114 papers that have together received 2.4k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (21 papers), Vitamin D Research Studies (9 papers), Analytical chemistry methods development (7 papers), Edible Oils Quality and Analysis (7 papers), Hormonal and reproductive studies (7 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Plant Stress Responses and Tolerance (6 papers) and Hormonal Regulation and Hypertension (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (662 citations), Analytical Chemistry (202 citations), Spectroscopy (286 citations), Pathology and Forensic Medicine (281 citations) and Biochemistry (75 citations). Alessandro Saba has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Andrea Raffaelli, Riccardo Zucchi, Federica Saponaro, Maja Marchini, Piero Salvadori, Grazia Chiellini, Sabina Frascarelli, Sandra Ghelardoni, Thomas S. Scanlan and Marco Macchia. Their work appears in journals such as Rapid Communications in Mass Spectrometry, Journal of Pharmaceutical and Biomedical Analysis, Analytical and Bioanalytical Chemistry, Thyroid and Endocrinology.

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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