Jennifer Kovacs-Nolan

3.4k citations
40 papers · 2.6k indexed · h-index 27
Topics
Viral gastroenteritis research and epidemiology (10 papers)Protein Hydrolysis and Bioactive Peptides (8 papers)Antimicrobial Peptides and Activities (7 papers)
Partner nations
CanadaJapanChina

In The Last Decade

Jennifer Kovacs-Nolan

40 papers receiving 2.5k citations

Peers

Jennifer Kovacs-Nolan
Comparison fields: 5 of 124
  • Molecular Biology 1.1k
  • Animal Science and Zoology 473
  • Food Science 437
  • Immunology 390
  • Nutrition and Dietetics 343
Replace Hajime Hatta with:
Hajime Hatta Japan
Takeshi Shimosato Japan
Harry Dawson United States
Hisashi Aso Japan
Alberto Finamore Italy
Kerstin Skovgaard Denmark
Sergey R. Konstantinov Netherlands
Takehiko Yamamoto Japan
Douglas D. Bannerman United States
Rachel C. Anderson New Zealand
Jennifer Kovacs-Nolan relative to Hajime Hatta Japan Hajime Hatta's profile →
Citations per field
00.5×3.7×
Hajime Hatta · 1×
Citations per year

Countries citing papers authored by Jennifer Kovacs-Nolan

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Kovacs-Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Kovacs-Nolan. 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 Jennifer Kovacs-Nolan. The network helps show where Jennifer Kovacs-Nolan may publish in the future.

Co-authorship network of co-authors of Jennifer Kovacs-Nolan

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Kovacs-Nolan. A scholar is included among the top collaborators of Jennifer Kovacs-Nolan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer Kovacs-Nolan. Jennifer Kovacs-Nolan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 136
3 31
4 152
5 144
6 38
7 20
8 9
9 19
10 185
11 98
12 44
13 62
14 25
15 71
16 393
17 60
18 157
19 22
20 20

About Jennifer Kovacs-Nolan

Jennifer Kovacs-Nolan is a scholar working on Microbiology, Small Animals and Immunology and Allergy, having authored 40 papers that have together received 2.6k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (10 papers), Protein Hydrolysis and Bioactive Peptides (8 papers) and Antimicrobial Peptides and Activities (7 papers). The work is most often cited by research in Animal Science and Zoology (473 citations), Small Animals (297 citations) and Microbiology (187 citations). Jennifer Kovacs-Nolan has collaborated with scholars based in Canada, Japan and China. Frequent co-authors include Yoshinori Mine, Marshall Phillips, Tania Archbold, Chengbo Yang, Ming Fan, Sylvia van Drunen Littel‐van den Hurk, Toshiro Matsui, Lorne A. Babiuk, Masahisa Ibuki and Yaning Shi. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Biochemical Journal and Biochemical and Biophysical Research Communications.

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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