B. Hartrodt
- Oncology top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Biochemistry top 2%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Klaus NeubertK. NeubertMatthias BrandschIlka KnütterJochen HeinsStephan TheisIlona BornA. Barth
- Topics
- Neuropeptides and Animal Physiology (12 papers)Chemical Synthesis and Analysis (10 papers)Amino Acid Enzymes and Metabolism (8 papers)
- Cited by
- BiochemistryOncologyPhysiology
In The Last Decade
B. Hartrodt
35 papers receiving 896 citations
Peers
Comparison fields: 5 of 81
- Oncology 521
- Molecular Biology 475
- Cellular and Molecular Neuroscience 252
- Biochemistry 179
- Endocrinology, Diabetes and Metabolism 105
Countries citing papers authored by B. Hartrodt
This map shows the geographic impact of B. Hartrodt'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 B. Hartrodt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Hartrodt more than expected).
Fields of papers citing papers by B. Hartrodt
This network shows the impact of papers produced by B. Hartrodt. 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 B. Hartrodt. The network helps show where B. Hartrodt may publish in the future.
Co-authorship network of co-authors of B. Hartrodt
This figure shows the co-authorship network connecting the top 25 collaborators of B. Hartrodt. A scholar is included among the top collaborators of B. Hartrodt 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 B. Hartrodt. B. Hartrodt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 73 | |
| 3 | 5 | |
| 4 | New Bradykinin Analogues Modified in Position 6 and 7 with Naphthylalanine | 4 |
| 5 | 47 | |
| 6 | New bradykinin Analogues Substituted in Positions 6 and 7 with Enantiomers of N-Methylphenylalanine | 1 |
| 7 | 35 | |
| 8 | 39 | |
| 9 | 10 | |
| 10 | 57 | |
| 11 | 27 | |
| 12 | 1 | |
| 13 | 120 | |
| 14 | Structure-activity studies of novel casomorphin analogues: binding profiles towards mu 1-, mu 2- and delta -opioid receptors. | 5 |
| 15 | 4 | |
| 16 | 93 | |
| 17 | Metabolism of D-proline beta-casomorphin derivatives in the rat brain. | 2 |
| 18 | 36 | |
| 19 | [Synthesis and enzymatic degradation of beta-casomorphin-5 (author's transl)]. | 2 |
| 20 | 0 |
About B. Hartrodt
B. Hartrodt is a scholar working on Physiology, Biochemistry and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 921 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Chemical Synthesis and Analysis (10 papers) and Amino Acid Enzymes and Metabolism (8 papers). The work is most often cited by research in Biochemistry (179 citations), Oncology (521 citations) and Physiology (70 citations). B. Hartrodt has collaborated with scholars based in Germany, Hungary and Poland. Frequent co-authors include Klaus Neubert, K. Neubert, Matthias Brandsch, Ilka Knütter, Jochen Heins, Stephan Theis, Ilona Born, A. Barth, Jens‐Ulrich Rahfeld and Iris Thondorf. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Biochemical and Biophysical Research Communications.
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.