M. G. Weiser

652 citations
36 papers · 488 · h-index 15

Impact in

Papers in

    • Blood groups and transfusion 7
    • Platelet Disorders and Treatments 4
    • Iron Metabolism and Disorders 4
    • Clinical Laboratory Practices and Quality Control 6
    • Erythrocyte Function and Pathophysiology 5

M. G. Weiser

35 papers receiving 466 citations

Peers

M. G. Weiser
Comparison fields: 5 of 69
  • Equine 55
  • Small Animals 79
  • Agronomy and Crop Science 89
  • Hematology 87
  • Microbiology 38
Replace B J McSherry with:
B J McSherry Canada
Silvia Tasca Italy
Maria Teresa Antognoni Italy
Ota Barta United States
Christine J. Swardson United States
David McClenahan United States
Jill J. McClure United States
Isamu Tomoda Japan
J Guelfi France
R. Halliday United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by M. G. Weiser

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with M. G. Weiser Line = papers co-authored together M. G. Weiser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199235
2 199434
3 199033
4 198329
5 199227
6 199226
7 198624
8 198324
9 199220
10 198219
11 198319
12 198119
13 198418
14 198715
15 200714
16 199312
17 199412
18 199112
19 198211
20 199010

About M. G. Weiser

M. G. Weiser is a scholar working on Hematology, Physiology, Pulmonary and Respiratory Medicine, Small Animals and Immunology, having authored 36 papers that have together received 488 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), Digital Imaging for Blood Diseases (4 papers), Platelet Disorders and Treatments (4 papers), Iron Metabolism and Disorders (4 papers) and Animal health and immunology (3 papers). The work is most often cited by research in Equine (55 citations), Small Animals (79 citations), Agronomy and Crop Science (89 citations), Hematology (87 citations) and Microbiology (38 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, Dawn E. Morin, William J. Reagan, M. Judith Radin, Diane E. Brown and David M. Getzy. Their work appears in journals such as Veterinary Pathology, Veterinary Clinical Pathology, American Journal of Veterinary Research, 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.

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