I. Böttcher

23 papers receiving 304 citations

Peers

I. Böttcher
Comparison fields: 5 of 69
  • Immunology and Allergy 40
  • Radiology, Nuclear Medicine and Imaging 141
  • Immunology 118
  • Pharmacology 86
  • Pharmacology 44
Replace I. Mayer with:
I. Mayer Austria
Jordi Beleta Spain
Johan Broddefalk Sweden
Ermengilda McCauley United States
Dominique Simon France
N. Devleeschouwer Belgium
J. Klicius United States
Takeshi Yura Japan
James W. Jetter United States
D Weltin France
I. Böttcher relative to I. Mayer Austria I. Mayer's profile →
Citations per field
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I. Mayer · 1×
Citations per year

Countries citing papers authored by I. Böttcher

Since Specialization
Citations

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

Fields of papers citing papers by I. Böttcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198157
2 197853
3 198038
4 198238
5 198833
6 198128
7 198325
8
A sulphonamido-indanone derivative CGP 28237 (ZK 34228), a novel non-steroidal anti-inflammatory agent without gastro-intestinal ulcerogenicity in rats.
198723
9 198619
10 198017
11 19808
12 19867
13 19837
14 19834
15 19883
16 20082
17 19882
18 19812
19 19522
20 19812

About I. Böttcher

I. Böttcher is a scholar working on Pharmacology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry, Molecular Biology and Biochemistry, having authored 24 papers that have together received 373 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Eicosanoids and Hypertension Pharmacology (6 papers), T-cell and B-cell Immunology (4 papers), Synthesis and Biological Evaluation (3 papers), Synthesis and biological activity (3 papers), Synthesis and Reactions of Organic Compounds (3 papers) and Mast cells and histamine (2 papers). The work is most often cited by research in Immunology and Allergy (40 citations), Radiology, Nuclear Medicine and Imaging (141 citations), Immunology (118 citations), Pharmacology (86 citations) and Pharmacology (44 citations). I. Böttcher has collaborated with scholars based in Switzerland, Australia and Germany. Frequent co-authors include G J Hämmerling, Zoltán Óváry, Nakami Hirayama, Corinna E. Rüfer, S. Nakai, Norio Ishida, E. Schillinger, Takashi Kishimoto, T Honjo and Yuichiro Nishida. Their work appears in journals such as Inflammation Research, Archiv der Pharmazie, International Archives of Allergy and Immunology, Journal of Immunological Methods and Biochemical Pharmacology.

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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