Nahum Y. Shpigel

3.7k citations
69 papers · 2.7k indexed · 1 hit paper · h-index 28
Topics
Milk Quality and Mastitis in Dairy Cows (24 papers)Microbial infections and disease research (9 papers)Reproductive Physiology in Livestock (9 papers)

In The Last Decade

Nahum Y. Shpigel

68 papers receiving 2.5k citations

Hit Papers

Ly6Chi Monocytes in the Inflamed Colon Give Rise to Proin...20122026201620212012100200300400500

Peers

Nahum Y. Shpigel
Comparison fields: 5 of 112
  • Agronomy and Crop Science 947
  • Immunology 800
  • Genetics 428
  • Molecular Biology 407
  • Food Science 358
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Tatiane A. Paíxão Brazil
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Yuichi Yokomizo Japan
Alejandro Núñez United Kingdom
Katleen Hermans Belgium
Philip Griebel Canada
E.D. Heller Israel
William W. Laegreid United States
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Nahum Y. Shpigel relative to John Hopkins United Kingdom John Hopkins's profile →
Citations per field
00.5×3.9×
John Hopkins · 1×
Citations per year

Countries citing papers authored by Nahum Y. Shpigel

Since Specialization
Citations

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

Fields of papers citing papers by Nahum Y. Shpigel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nahum Y. Shpigel

This figure shows the co-authorship network connecting the top 25 collaborators of Nahum Y. Shpigel. A scholar is included among the top collaborators of Nahum Y. Shpigel 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 Nahum Y. Shpigel. Nahum Y. Shpigel 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 3
2 4
3 11
4 20
5 41
6 11
7 12
8
Ly6Chi Monocytes in the Inflamed Colon Give Rise to Proinflammatory Effector Cells and Migratory Antigen-Presenting Cellsbreakdown →
573
9 13
10 38
11 27
12 47
13 29
14 19
15 62
16 55
17 72
18 20
19 38
20 8

About Nahum Y. Shpigel

Nahum Y. Shpigel is a scholar working on Agronomy and Crop Science, Endocrinology and Microbiology, having authored 69 papers that have together received 2.7k indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (24 papers), Microbial infections and disease research (9 papers) and Reproductive Physiology in Livestock (9 papers). The work is most often cited by research in Agronomy and Crop Science (947 citations), Endocrinology (339 citations) and Virology (210 citations). Nahum Y. Shpigel has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Ilan Rosenshine, T. Goshen, A. Saran, Eyal Klement, M. Winkler, Steffen Jung, Gilgi Friedlander, Ehud Zigmond, Matthias Mack and Kenneth M. Murphy. Their work appears in journals such as Immunity, Gastroenterology and PLoS ONE.

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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