Ilona Born

853 citations
22 papers · 754 · h-index 12

Impact in

Papers in

Ilona Born

22 papers receiving 706 citations

Peers

Ilona Born
Comparison fields: 5 of 67
  • Oncology 530
  • Geriatrics and Gerontology 65
  • Cellular and Molecular Neuroscience 287
  • Physiology 63
  • Endocrinology, Diabetes and Metabolism 169
Replace Tine Skovgaard with:
Tine Skovgaard Denmark
Nitsa Katrakili Greece
Stéphanie Jean United States
Giuseppina Nicotra Italy
Kristine Hole Norway
Katsuhiko Fukasawa Japan
Jayashree P. Joshi United States
Irina A. Vasilevskaya United States
Hongxia Lin United States
Patricio T. Riquelme United States
Ilona Born relative to Tine Skovgaard Denmark Tine Skovgaard's profile →
Citations per field
00.5×2×4×6×8×9.4×
Tine Skovgaard · 1×
Citations per year

Countries citing papers authored by Ilona Born

Since Specialization
Citations

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

Fields of papers citing papers by Ilona Born

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001125
2 199199
3 198897
4 201474
5 199758
6 199958
7 199851
8 200150
9 199833
10 199521
11 199719
12 200712
13 200411
14 20058
15 20068
16 20068
17
Structure-activity studies of novel casomorphin analogues: binding profiles towards mu 1-, mu 2- and delta -opioid receptors.
19916
18 20066
19 20065
20
Metabolism of D-proline beta-casomorphin derivatives in the rat brain.
19882

About Ilona Born

Ilona Born is a scholar working on Oncology, Cellular and Molecular Neuroscience, Cancer Research, Biochemistry and Molecular Biology, having authored 22 papers that have together received 754 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (15 papers), Neuropeptides and Animal Physiology (14 papers), Signaling Pathways in Disease (5 papers), Protease and Inhibitor Mechanisms (4 papers), Chemical Synthesis and Analysis (3 papers), Adenosine and Purinergic Signaling (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Oncology (530 citations), Geriatrics and Gerontology (65 citations), Cellular and Molecular Neuroscience (287 citations), Physiology (63 citations) and Endocrinology, Diabetes and Metabolism (169 citations). Ilona Born has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Klaus Neubert, Jürgen Faust, Dirk Reinhold, Siegfried Ansorge, B. Hartrodt, Alfred Barth, Matthias Brandsch, Roland Martinꝉ, K. Neubert and Ilka Knütter. Their work appears in journals such as European Journal of Biochemistry, Journal of Neuroimmunology, Biochemistry, FEBS Journal and Immunology Letters.

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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