G.G. Kaiser

540 citations
20 papers · 414 indexed · h-index 13

G.G. Kaiser

19 papers receiving 397 citations

Peers

G.G. Kaiser
Comparison fields: 5 of 45
  • Reproductive Medicine 192
  • Agronomy and Crop Science 120
  • Public Health, Environmental and Occupational Health 289
  • Genetics 76
  • Ecology, Evolution, Behavior and Systematics 50
Replace N. Mucci with:
N. Mucci Argentina
Mohammad Atikuzzaman South Korea
B. Marquant-Le Guienne France
Antonio Spezzigu Italy
M. Nibart France
Sandra Thoumire France
Jairo Pereira Neves Brazil
Mariana Groke Marques Brazil
Maria Kareskoski Finland
Yuwei Qin China
G.G. Kaiser relative to N. Mucci Argentina N. Mucci's profile →
Citations per field
00.5×2.9×
N. Mucci · 1×
Citations per year

Countries citing papers authored by G.G. Kaiser

Since Specialization
Citations

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

Fields of papers citing papers by G.G. Kaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20204
2 201719
3 20167
4 201423
5 201423
6 201315
7 201212
8 201216
9 200935
10 200918
11 200917
12 200714
13 200611
14 200652
15 20061
16 20064
17 200596
18 20043
19 200330
20 200114

About G.G. Kaiser

G.G. Kaiser is a scholar working on Agronomy and Crop Science, Reproductive Medicine, Public Health, Environmental and Occupational Health, Ecology, Evolution, Behavior and Systematics and Animal Science and Zoology, having authored 20 papers that have together received 414 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (12 papers), Sperm and Testicular Function (6 papers), Animal Disease Management and Epidemiology (5 papers), Reproductive Physiology in Livestock (4 papers), Vector-Borne Animal Diseases (4 papers), Viral gastroenteritis research and epidemiology (2 papers), CRISPR and Genetic Engineering (2 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Reproductive Medicine (192 citations), Agronomy and Crop Science (120 citations), Public Health, Environmental and Occupational Health (289 citations), Genetics (76 citations) and Ecology, Evolution, Behavior and Systematics (50 citations). G.G. Kaiser has collaborated with scholars based in Argentina, United States and Germany. Frequent co-authors include N. Mucci, R.H. Alberio, Juan F. Aller, F. Hozbor, A. Mutto, Andreína Cesari, A.C. Odeón, Carlos M. Campero, G.A. Palma and María Leunda. Their work appears in journals such as Animal Reproduction Science, Theriogenology, Reproduction Fertility and Development, Veterinary Microbiology and Journal of Dairy Science.

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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