M.C. Marca

31 papers receiving 419 citations

Peers

M.C. Marca
Comparison fields: 5 of 69
  • Small Animals 84
  • Equine 16
  • Endocrinology, Diabetes and Metabolism 111
  • Agronomy and Crop Science 74
  • Animal Science and Zoology 55
Replace C. Belloli with:
C. Belloli Italy
Danieli Brolo Martins Brazil
P. L. Ingram United Kingdom
Sahatchai Tangtrongsup Thailand
F. R. Ungemach Germany
Elizabeth Doré Canada
Baetz Al France
Agnieszka Herosimczyk Poland
Caroline A Kerr Australia
Bianca Santana de Cecco Brazil
M.C. Marca relative to C. Belloli Italy C. Belloli's profile →
Citations per field
00.5×7.4×
C. Belloli · 1×
Citations per year

Countries citing papers authored by M.C. Marca

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Marca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.C. Marca. 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 M.C. Marca. The network helps show where M.C. Marca may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200133
2 200732
3 199431
4 200331
5 200729
6 200829
7 200626
8 199622
9
Study of the effect of total serum protein and albumin concentrations on canine fructosamine concentration.
199922
10 200121
11 200121
12
Blood glycated hemoglobin evaluation in sick dogs.
200019
13 200217
14 200817
15 200615
16 200015
17 200114
18 199813
19 200012
20 19969

About M.C. Marca

M.C. Marca is a scholar working on Small Animals, Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology and Nutrition and Dietetics, having authored 31 papers that have together received 464 indexed citations. Recurring topics across this work include Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Diet, Metabolism, and Disease (4 papers), Diabetes and associated disorders (3 papers), Meat and Animal Product Quality (3 papers), Veterinary Medicine and Surgery (3 papers), Reproductive Physiology in Livestock (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Small Animals (84 citations), Equine (16 citations), Endocrinology, Diabetes and Metabolism (111 citations), Agronomy and Crop Science (74 citations) and Animal Science and Zoology (55 citations). M.C. Marca has collaborated with scholars based in Spain and Italy. Frequent co-authors include Antonio Fernández, Jesús Osada, M. T. Verde, María Jesús Rodriguez‐Yoldi, María Dolores Pérez, Sergio Acı́n, M. Pilar Lostao, M.A. Navarro, M.J. Rodrı́guez-Yoldi and L. M. Ferrer. Their work appears in journals such as Veterinary Research Communications, Small Ruminant Research, Research in Veterinary Science, Comparative Immunology Microbiology and Infectious Diseases and Journal of Applied Animal Research.

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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