E. Lipkin

1.3k citations
42 papers · 1.0k indexed · h-index 18

E. Lipkin

40 papers receiving 992 citations

Peers

E. Lipkin
Comparison fields: 5 of 75
  • Genetics 693
  • Agronomy and Crop Science 226
  • Animal Science and Zoology 115
  • Cancer Research 149
  • Microbiology 43
Replace Nina Schulman with:
Nina Schulman Finland
Joanna Szyda Poland
Sonika Ahlawat India
C. A. Gill United States
Bharat Bhushan India
Binyun Cao China
Ingrid Olsaker Norway
Arjava Sharma India
L. Andersson‐Eklund Sweden
B. Moioli Italy
E. Lipkin relative to Nina Schulman Finland Nina Schulman's profile →
Citations per field
00.5×4.4×
Nina Schulman · 1×
Citations per year

Countries citing papers authored by E. Lipkin

Since Specialization
Citations

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

Fields of papers citing papers by E. Lipkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 201916
3 201621
4 201437
5 201419
6 201419
7 201211
8 200917
9 200827
10 200855
11 200865
12 20087
13 200817
14
Linkage disequilibrium in four cattle populations.
20061
15
Analysis of bovine chromosome 20 for QTL affecting milk production and reproductive traits applying a selective milk DNA pooling strategy in the Italian Holstein population.
20062
16 200538
17 200226
18 2001172
19
Mapping QTL affecting milk protein percent in Israel Holstein dairy cattle by selective DNA pooling with dinucleotide microsatellite markers.
19981
20 199662

About E. Lipkin

E. Lipkin is a scholar working on Genetics, Animal Science and Zoology and Microbiology, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (29 papers), Genetic Mapping and Diversity in Plants and Animals (24 papers), Wheat and Barley Genetics and Pathology (7 papers), Cancer-related molecular mechanisms research (6 papers), Animal Nutrition and Physiology (5 papers), Milk Quality and Mastitis in Dairy Cows (3 papers), Herpesvirus Infections and Treatments (3 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Genetics (693 citations), Agronomy and Crop Science (226 citations) and Animal Science and Zoology (115 citations). E. Lipkin has collaborated with scholars based in Israel, Italy and United States. Frequent co-authors include M. Soller, A. Friedmann, G. Khutoreskaya, A. Shalom, Ayala Lagziel, Hasan Khatib, A. Bagnato, E. Ezra, Janet E. Fulton and Ariel Darvasi. Their work appears in journals such as Journal of Dairy Science, Genetics, Animal Genetics, Italian Journal of Animal Science and Poultry 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026