G Sprovieri

638 citations
30 papers · 512 · h-index 13

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Pancreatitis Pathology and Treatment 8
    • Hepatitis B Virus Studies 5
    • Liver Disease Diagnosis and Treatment 4

G Sprovieri

29 papers receiving 479 citations

Peers

G Sprovieri
Comparison fields: 5 of 80
  • Hepatology 69
  • Oncology 168
  • Surgery 262
  • Epidemiology 131
  • Dermatology 28
Replace Richard R. Babb with:
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Citations per field
00.5×4.4×
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Citations per year

Countries citing papers authored by G Sprovieri

Since Specialization
Citations

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

Fields of papers citing papers by G Sprovieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995169
2 198982
3 199138
4 197822
5 199318
6 199417
7 198917
8 199216
9 199916
10 199215
11 199215
12 199013
13 199712
14 19789
15 19769
16
Serum lipase assay. A test of choice in acute pancreatitis.
19928
17 19977
18 19957
19
Preliminary results of thymosin-α1 versus IFN-α treatment in patients with HBeAg negative and HBV-DNA positive chronic active hepatitis
19934
20
Serum CA 242 in pancreatic cancer. Comparison with CA 19-9 and CEA.
19964

About G Sprovieri

G Sprovieri is a scholar working on Surgery, Epidemiology, Hepatology, Genetics and Molecular Biology, having authored 30 papers that have together received 512 indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (8 papers), Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Analytical Chemistry and Chromatography (3 papers), Diphtheria, Corynebacterium, and Tetanus (3 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Hepatology (69 citations), Oncology (168 citations), Surgery (262 citations), Epidemiology (131 citations) and Dermatology (28 citations). G Sprovieri has collaborated with scholars based in Italy and Colombia. Frequent co-authors include Raffaele Pezzilli, R. Miniero, Paola Billi, Mario Miglioli, Onda Cappelletti, Bahjat Barakat, Antonio Maria Morselli‐Labate, Gabriele Grossi, M. Ventrucci and A. Bargossi. Their work appears in journals such as Digestive Diseases and Sciences, Cellular and Molecular Life Sciences, Journal of Chromatography A, European Journal of Epidemiology and Gastroenterology.

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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