Ingrid Walter

159 papers receiving 2.8k citations

Peers

Ingrid Walter
Comparison fields: 5 of 140
  • Equine 234
  • Agronomy and Crop Science 514
  • Reproductive Medicine 315
  • Biomaterials 404
  • Small Animals 202
Replace Chris H.A. van de Lest with:
Chris H.A. van de Lest Netherlands
F. Crémonesi Italy
Christiane Pfarrer Germany
Renée Laufer Amorim Brazil
Michael W. Wolfe United States
Anna Bassols Spain
Giovanna Lazzari Italy
Lane K. Christenson United States
Preben D. Thomsen United Kingdom
Anders Malmström Sweden
Ingrid Walter relative to Chris H.A. van de Lest Netherlands Chris H.A. van de Lest's profile →
Citations per field
00.5×5.5×
Chris H.A. van de Lest · 1×
Citations per year

Countries citing papers authored by Ingrid Walter

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Walter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009114
2 2014110
3 2012100
4 200870
5 200568
6 200165
7 199562
8
Interleukin 1 system and sex steroid receptor expression in human breast cancer: interleukin 1alpha protein secretion is correlated with malignant phenotype.
200361
9 200860
10 201857
11 200549
12 200548
13 200945
14 200445
15 200144
16 200543
17 201142
18 200042
19 200842
20 201042

About Ingrid Walter

Ingrid Walter is a scholar working on Agronomy and Crop Science, Pulmonary and Respiratory Medicine, Molecular Biology, Immunology and Genetics, having authored 161 papers that have together received 2.9k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (38 papers), Veterinary Oncology Research (26 papers), Reproductive System and Pregnancy (23 papers), Veterinary Equine Medical Research (22 papers), Reproductive Biology and Fertility (19 papers), Electrospun Nanofibers in Biomedical Applications (11 papers), Virus-based gene therapy research (11 papers) and Cell Adhesion Molecules Research (9 papers). The work is most often cited by research in Equine (234 citations), Agronomy and Crop Science (514 citations), Reproductive Medicine (315 citations), Biomaterials (404 citations) and Small Animals (202 citations). Ingrid Walter has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Christine Aurich, Monika Egerbacher, S. Budik, Helga Bergmeister, Birgitt Wolfesberger, Christian Grasl, Alois Boos, Heinrich Schima, Christian F. Singer and Ingrid Miller. Their work appears in journals such as Theriogenology, Reproduction in Domestic Animals, Reproduction Fertility and Development, Research in Veterinary Science and Journal of Equine Veterinary 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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