Hans‐Joachim Schuberth
- Agronomy and Crop Science top 0.1%
- Immunology top 2%
- Genetics top 5%
- Molecular Biology
- Food Science top 2%
- Co-authors
- Holm ZerbeI. Martin SheldonLeopold GoetzeHans‐Martin SeyfertGaetano DonofríoJ. CroninWolfgang LeiboldWolfram Petzl
- Topics
- Reproductive Physiology in Livestock (27 papers)Milk Quality and Mastitis in Dairy Cows (25 papers)Immune Response and Inflammation (24 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Hans‐Joachim Schuberth
108 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Agronomy and Crop Science 2.2k
- Immunology 1.4k
- Genetics 647
- Molecular Biology 537
- Food Science 506
Countries citing papers authored by Hans‐Joachim Schuberth
This map shows the geographic impact of Hans‐Joachim Schuberth'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 Hans‐Joachim Schuberth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans‐Joachim Schuberth more than expected).
Fields of papers citing papers by Hans‐Joachim Schuberth
This network shows the impact of papers produced by Hans‐Joachim Schuberth. 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 Hans‐Joachim Schuberth. The network helps show where Hans‐Joachim Schuberth may publish in the future.
Co-authorship network of co-authors of Hans‐Joachim Schuberth
This figure shows the co-authorship network connecting the top 25 collaborators of Hans‐Joachim Schuberth. A scholar is included among the top collaborators of Hans‐Joachim Schuberth 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 Hans‐Joachim Schuberth. Hans‐Joachim Schuberth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 18 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | ChronMast - a model to study functional genetic variation of mastitis susceptibility | 4 |
| 9 | 6 | |
| 10 | 48 | |
| 11 | 16 | |
| 12 | 51 | |
| 13 | 33 | |
| 14 | Defining Postpartum Uterine Disease and the Mechanisms of Infection and Immunity in the Female Reproductive Tract in Cattle1breakdown → | 738 |
| 15 | 13 | |
| 16 | 7 | |
| 17 | [Influence of age on myelogram in dogs]. | 1 |
| 18 | 16 | |
| 19 | 18 | |
| 20 | 4 |
About Hans‐Joachim Schuberth
Hans‐Joachim Schuberth is a scholar working on Agronomy and Crop Science, Immunology and Microbiology, having authored 112 papers that have together received 3.6k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (27 papers), Milk Quality and Mastitis in Dairy Cows (25 papers) and Immune Response and Inflammation (24 papers). The work is most often cited by research in Agronomy and Crop Science (2.2k citations), Small Animals (499 citations) and Immunology (1.4k citations). Hans‐Joachim Schuberth has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Holm Zerbe, I. Martin Sheldon, Leopold Goetze, Hans‐Martin Seyfert, Gaetano Donofrío, J. Cronin, Wolfgang Leibold, Wolfram Petzl, Juliane Günther and Jamal Hussen. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.
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.