F. DeVenuto

40 papers receiving 405 citations

Peers

F. DeVenuto
Comparison fields: 5 of 78
  • Cell Biology 216
  • Biochemistry 56
  • Critical Care and Intensive Care Medicine 31
  • Genetics 59
  • Physiology 132
Replace SABURO YAMAZOE with:
SABURO YAMAZOE Japan
Nikolai V. Gorbunov United States
Misuzu Sekiya Japan
Harold Alton United States
Nell I. Mock United States
Shuhei Takemura Japan
U. Rosa Italy
Niraj Kumar Srivastava India
Mario Monti Sweden
Dalia Mazor Israel
F. DeVenuto relative to SABURO YAMAZOE Japan SABURO YAMAZOE's profile →
Citations per field
00.5×7.8×
SABURO YAMAZOE · 1×
Citations per year

Countries citing papers authored by F. DeVenuto

Since Specialization
Citations

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

Fields of papers citing papers by F. DeVenuto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside F. DeVenuto, 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 F. DeVenuto Line = papers co-authored together F. DeVenuto 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 198366
2
Appraisal of hemoglobin solution as a blood substitute.
197950
3 196941
4 195724
5 195622
6
Morphologic effects following massive exchange transfusions with a stroma-free hemoglobin solution. I. Liver.
197819
7 198219
8
Blood exchange with pyridoxalated and polymerized hemoglobin solution.
198219
9 196217
10 197617
11 198815
12
Stability of hemoglobin solution during extended storage.
197814
13 196613
14 196112
15 196612
16 196811
17 197411
18 198210
19 19679
20 19728

About F. DeVenuto

F. DeVenuto is a scholar working on Cell Biology, Physiology, Genetics, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 41 papers that have together received 472 indexed citations. Recurring topics across this work include Hemoglobin structure and function (17 papers), Erythrocyte Function and Pathophysiology (9 papers), Hemoglobinopathies and Related Disorders (8 papers), Neonatal Health and Biochemistry (7 papers), Hormonal Regulation and Hypertension (6 papers), Blood groups and transfusion (6 papers), Blood transfusion and management (5 papers) and Hormonal and reproductive studies (4 papers). The work is most often cited by research in Cell Biology (216 citations), Biochemistry (56 citations), Critical Care and Intensive Care Medicine (31 citations), Genetics (59 citations) and Physiology (132 citations). F. DeVenuto has collaborated with scholars based in United States. Frequent co-authors include Angelo I. Zegna, Ulrich Westphal, Sarah M. Wilson, H.E. Firschein, Gerald J. Chader, Harold I. Friedman, Marc Walter, Eli M. Pearce, E. M. Pearce and Paul W. Mellick. Their work appears in journals such as Experimental Biology and Medicine, Transfusion, Critical Care Medicine, Endocrinology and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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