Y.M. SAIF

1.1k citations
44 papers · 893 · h-index 20

Impact in

    • Animal Nutrition and Physiology
    • Livestock and Poultry Management
    • Animal Virus Infections Studies
    • Microbial infections and disease research

Papers in

    • Animal Virus Infections Studies 21
    • Animal Nutrition and Physiology 13
    • Livestock and Poultry Management 7
    • Microbial infections and disease research 17

Y.M. SAIF

41 papers receiving 802 citations

Peers

Y.M. SAIF
Comparison fields: 5 of 78
  • Animal Science and Zoology 614
  • Microbiology 119
  • Parasitology 118
  • Small Animals 93
  • Infectious Diseases 148
Replace Martin D. Ficken with:
Martin D. Ficken United States
Jiřı́ Volf Czechia
J. N. Beasley United States
Tina Sørensen Dalgaard Denmark
R. Glávits Hungary
R. P. Chin United States
F. G. Davelaar Netherlands
A P Avakian United States
Xinglong Yu China
Hafez Mohamed Hafez Germany
Y.M. SAIF relative to Martin D. Ficken United States Martin D. Ficken's profile →
Citations per field
00.5×1.5×1.9×
Martin D. Ficken · 1×
Citations per year

Countries citing papers authored by Y.M. SAIF

Since Specialization
Citations

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

Fields of papers citing papers by Y.M. SAIF

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199795
2 198566
3 198751
4 198146
5 200137
6 199737
7 199237
8 200033
9 199130
10 199629
11 199928
12 198425
13 198924
14 199624
15 199124
16 198823
17 200022
18 199922
19 199421
20 200020

About Y.M. SAIF

Y.M. SAIF is a scholar working on Animal Science and Zoology, Microbiology, Epidemiology, Genetics and Parasitology, having authored 44 papers that have together received 893 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (21 papers), Microbial infections and disease research (17 papers), Animal Nutrition and Physiology (13 papers), Virology and Viral Diseases (8 papers), Livestock and Poultry Management (7 papers), Bird parasitology and diseases (7 papers), Genetic and phenotypic traits in livestock (5 papers) and Herpesvirus Infections and Treatments (5 papers). The work is most often cited by research in Animal Science and Zoology (614 citations), Microbiology (119 citations), Parasitology (118 citations), Small Animals (93 citations) and Infectious Diseases (148 citations). Y.M. SAIF has collaborated with scholars based in United States, China and Australia. Frequent co-authors include K.E. Nestor, R. N. Dearth, Philip A. Renner, K.E. Nestor, Raymond A. Patterson, Wayne L. Bacon, Kevin Watkins, Thomas R. Shryock, KE Nestor and D.A. Emmerson. Their work appears in journals such as Poultry Science, Avian Diseases, American Journal of Veterinary Research, Veterinary Microbiology and PubMed.

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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