L. Mannucci

29 papers receiving 1.2k citations

Peers

L. Mannucci
Comparison fields: 5 of 109
  • Hematology 194
  • Internal Medicine 39
  • Biochemistry 86
  • Genetics 103
  • Transplantation 25
Replace Ossama A. Hatoum with:
Ossama A. Hatoum Israel
Shuichi Horie Japan
Anja Urbach Germany
Valbona Mirakaj Germany
Matthew B. Lanktree Canada
José Pavı́a Spain
Brian E. Mace United States
Valentina Arnao Italy
Alicja Bukowska Germany
Å Sidén Sweden
L. Mannucci relative to Ossama A. Hatoum Israel Ossama A. Hatoum's profile →
Citations per field
00.5×8.3×
Ossama A. Hatoum · 1×
Citations per year

Countries citing papers authored by L. Mannucci

Since Specialization
Citations

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

Fields of papers citing papers by L. Mannucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000330
2 1980164
3 1992135
4 198287
5 201946
6 201044
7 200638
8 199238
9
Value of Normotest and antithrombin 3 in the assessment of liver function.
197333
10 200731
11 199530
12 199228
13 200826
14 200326
15 201925
16 198725
17 200224
18 200420
19 200820
20 200420

About L. Mannucci

L. Mannucci is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology, Hematology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Platelet Disorders and Treatments (3 papers), Blood properties and coagulation (3 papers), Biomedical Research and Pathophysiology (2 papers) and Pharmacology and Obesity Treatment (2 papers). The work is most often cited by research in Hematology (194 citations), Internal Medicine (39 citations), Biochemistry (86 citations), Genetics (103 citations) and Transplantation (25 citations). L. Mannucci has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Claudia Bagni, Francesco Amaldi, Carlos G. Dotti, F. I. Pareti, Elena Tremoli, P.M. Mannucci, A Capitanio, Claudio Ponticelli, L. Mussoni and P. Maderna. Their work appears in journals such as Thrombosis and Haemostasis, Thrombosis Research, Analytical Biochemistry, Annals of Human Genetics and Journal of Inherited Metabolic Disease.

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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