M. G. Weiser
- Equine top 2%
- Small Animals top 5%
- Hematology top 10%
- Blood groups and transfusion 7
- Platelet Disorders and Treatments 4
- Iron Metabolism and Disorders 4
- Agronomy and Crop Science top 10%
- Microbiology top 10%
-
- Clinical Laboratory Practices and Quality Control 6
- Erythrocyte Function and Pathophysiology 5
-
- Blood properties and coagulation 5
-
- Digital Imaging for Blood Diseases 4
-
- T-cell and Retrovirus Studies 3
- Co-authors
- Gary J. KocibaFranklyn B. GarryMary Anna ThrallLinda M. VapM. J. FettmanWilliam J. ReaganDawn E. MorinM. Judith Radin
- Cited by
- EquineSmall AnimalsHematology
- Journals
- Veterinary Pathology (11 papers)American Journal of Veterinary Research (5 papers)Veterinary Clinical Pathology (5 papers)
- Partner nations
- United StatesSaint Kitts and Nevis
In The Last Decade
M. G. Weiser
35 papers receiving 462 citations
Peers
Comparison fields: 5 of 72
- Equine 69
- Small Animals 92
- Hematology 108
- Agronomy and Crop Science 93
- Microbiology 44
Countries citing papers authored by M. G. Weiser
This map shows the geographic impact of M. G. Weiser'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. G. Weiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. G. Weiser more than expected).
Fields of papers citing papers by M. G. Weiser
This network shows the impact of papers produced by M. G. Weiser. 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. G. Weiser. The network helps show where M. G. Weiser may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. G. Weiser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 14 | |
| 2 | 2007 | 7 | |
| 3 | 1997 | 8 | |
| 4 | 1994 | 8 | |
| 5 | 1994 | 34 | |
| 6 | 1993 | 12 | |
| 7 | 1992 | 27 | |
| 8 | 1992 | 20 | |
| 9 | 1992 | 35 | |
| 10 | 1990 | 10 | |
| 11 | 1988 | 1 | |
| 12 | 1987 | 9 | |
| 13 | 1987 | 15 | |
| 14 | 1986 | 10 | |
| 15 | 1986 | 24 | |
| 16 | 1985 | 5 | |
| 17 | 1985 | 3 | |
| 18 | 1983 | 19 | |
| 19 | 1982 | 19 | |
| 20 | [On the iron content and iron-binding capacity of serum and plasma in hens]. | 1965 | 1 |
About M. G. Weiser
M. G. Weiser is a scholar working on Equine, Hematology and Small Animals, having authored 36 papers that have together received 485 indexed citations. Recurring topics across this work include Blood groups and transfusion (7 papers), Clinical Laboratory Practices and Quality Control (6 papers), Blood properties and coagulation (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Platelet Disorders and Treatments (4 papers), Digital Imaging for Blood Diseases (4 papers), Iron Metabolism and Disorders (4 papers) and T-cell and Retrovirus Studies (3 papers). The work is most often cited by research in Equine (69 citations), Small Animals (92 citations) and Hematology (108 citations). M. G. Weiser has collaborated with scholars based in United States and Saint Kitts and Nevis. Frequent co-authors include Gary J. Kociba, Franklyn B. Garry, Mary Anna Thrall, Linda M. Vap, M. J. Fettman, William J. Reagan, Dawn E. Morin, M. Judith Radin, Diane E. Brown and David M. Getzy. Their work appears in journals such as Veterinary Pathology, American Journal of Veterinary Research, Veterinary Clinical Pathology, Veterinary Clinics of North America Small Animal Practice and Blood.
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.