Metry Bacila

74 papers receiving 835 citations

Peers

Metry Bacila
Comparison fields: 5 of 96
  • Biochemistry 131
  • Clinical Biochemistry 56
  • Endocrinology, Diabetes and Metabolism 132
  • Aquatic Science 51
  • Molecular Biology 463
Replace Eugene S. Baginski with:
Eugene S. Baginski United States
Lewis Carl Mokrasch United States
Horacio A. Garda Argentina
Robert L. Dryer United States
P. P. Foà United States
Clara R. Krisman Argentina
Toshihide Suzuki Japan
V. Moses United States
AJIT GOSWAMI United States
Leiv Klungsöyr Norway
Metry Bacila relative to Eugene S. Baginski United States Eugene S. Baginski's profile →
Citations per field
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Eugene S. Baginski · 1×
Citations per year

Countries citing papers authored by Metry Bacila

Since Specialization
Citations

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

Fields of papers citing papers by Metry Bacila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1959141
2 1961121
3 1962101
4 196043
5 196842
6 199342
7 196331
8 197925
9 195418
10 199917
11 200016
12 199316
13 197915
14 195415
15 197314
16 197813
17 198413
18 198913
19 198313
20 197612

About Metry Bacila

Metry Bacila is a scholar working on Animal Science and Zoology, Physiology, Cancer Research, Aquatic Science and Ecology, having authored 83 papers that have together received 940 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (10 papers), Cancer, Hypoxia, and Metabolism (10 papers), Enzyme Structure and Function (8 papers), Diet, Metabolism, and Disease (7 papers), Aquaculture Nutrition and Growth (6 papers), Environmental Toxicology and Ecotoxicology (5 papers), Meat and Animal Product Quality (5 papers) and Biochemical effects in animals (5 papers). The work is most often cited by research in Biochemistry (131 citations), Clinical Biochemistry (56 citations), Endocrinology, Diabetes and Metabolism (132 citations), Aquatic Science (51 citations) and Molecular Biology (463 citations). Metry Bacila has collaborated with scholars based in Brazil, United States and Argentina. Frequent co-authors include Bernard L. Horecker, Annibal Paiva Campello, Luiz Alberto Veiga, John A. Cooper, Maharani Chakravorty, Edith Susana Fanta, Hamza A. El-Dorry, E. S. Guzmán Barrón, Jorge Horii and Edson Rodrigues. Their work appears in journals such as Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics, Journal of Biological Chemistry, Nature and Journal of Bacteriology.

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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