G Krömer
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
-
- Meat and Animal Product Quality 5
- Animal Nutrition and Physiology 3
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 3
- Co-authors
- Georg Wick (14 shared papers)Konrad Schauenstein (13 shared papers)R. Fässler (8 shared papers)S. Schwarz (4 shared papers)H. Dietrich (3 shared papers)K Hála (4 shared papers)Günther Böck (4 shared papers)Roy S. Sundick (2 shared papers)
- Journals
- The Journal of Immunology (6 papers)Journal of Autoimmunity (2 papers)Immunology Letters (2 papers)European Journal of Immunology (1 paper)Immunobiology (1 paper)
- Partner nations
- AustriaUnited StatesSwitzerland
In The Last Decade
G Krömer
19 papers receiving 526 citations
Peers
Comparison fields: 5 of 63
- Behavioral Neuroscience 74
- Immunology 239
- Animal Science and Zoology 107
- Endocrinology, Diabetes and Metabolism 127
- Biological Psychiatry 18
Countries citing papers authored by G Krömer
This map shows the geographic impact of G Krömer'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 G Krömer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Krömer more than expected).
Fields of papers citing papers by G Krömer
This network shows the impact of papers produced by G Krömer. 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 G Krömer. The network helps show where G Krömer may publish in the future.
Co-authors
The 25 scholars most cited alongside G Krömer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 77 | |
| 2 | 1985 | 59 | |
| 3 | 1986 | 52 | |
| 4 | 1986 | 44 | |
| 5 | 1987 | 40 | |
| 6 | 1985 | 39 | |
| 7 | 1984 | 39 | |
| 8 | 1985 | 38 | |
| 9 | 1991 | 33 | |
| 10 | 1988 | 27 | |
| 11 | 1985 | 22 | |
| 12 | 1988 | 17 | |
| 13 | 1987 | 14 | |
| 14 | 1987 | 10 | |
| 15 | 1988 | 9 | |
| 16 | 1987 | 7 | |
| 17 | In-vivo treatment with 5-azacytidine causes degeneration of central lymphatic organs and induces autoimmune disease in the chicken. | 1991 | 7 |
| 18 | 1986 | 3 | |
| 19 | 1988 | 2 |
About G Krömer
G Krömer is a scholar working on Animal Science and Zoology, Immunology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 19 papers that have together received 539 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Meat and Animal Product Quality (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immune Cell Function and Interaction (3 papers), Animal Nutrition and Physiology (3 papers), Stress Responses and Cortisol (3 papers), Diabetes and associated disorders (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Behavioral Neuroscience (74 citations), Immunology (239 citations), Animal Science and Zoology (107 citations), Endocrinology, Diabetes and Metabolism (127 citations) and Biological Psychiatry (18 citations). G Krömer has collaborated with scholars based in Austria, United States and Switzerland. Frequent co-authors include Georg Wick, Konrad Schauenstein, R. Fässler, S. Schwarz, H. Dietrich, K Hála, Günther Böck, Roy S. Sundick, Nikolaus Neu and Karel Hála. Their work appears in journals such as The Journal of Immunology, Journal of Autoimmunity, Immunology Letters, European Journal of Immunology and Immunobiology.
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.