C. Bruns

1.5k citations
48 papers · 1.1k · h-index 15

Impact in

Papers in

C. Bruns

44 papers receiving 1.1k citations

Peers

C. Bruns
Comparison fields: 5 of 81
  • Epidemiology 476
  • Endocrinology, Diabetes and Metabolism 174
  • Cell Biology 179
  • Oncology 170
  • Cellular and Molecular Neuroscience 113
Replace Paul W. Howard with:
Paul W. Howard United States
Ling Zeng United States
Heather Shilling United States
Emilio Boada-Romero United States
Aleth Callé France
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Akihiro Konno Japan
M B Prystowsky United States
Rashed Abdullah United States
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Citations per field
00.5×4.2×
Paul W. Howard · 1×
Citations per year

Countries citing papers authored by C. Bruns

Since Specialization
Citations

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

Fields of papers citing papers by C. Bruns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993180
2 1992177
3 2011156
4
Somatostatin analogue octreotide enhances the antineoplastic effects of tamoxifen and ovariectomy on 7,12-dimethylbenz(alpha)anthracene-induced rat mammary carcinomas.
199472
5 200870
6 202269
7 199560
8 201454
9 200836
10 201031
11 201626
12 199420
13 202017
14 201915
15 199814
16
The role of somatostatin analogs in the treatment of endocrine gastrointestinal tumors.
199311
17 20089
18 20139
19 20168
20
OctreoScan 111 for imaging of a somatostatin receptor-positive islet cell tumor in rat.
19938

About C. Bruns

C. Bruns is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Endocrinology, Diabetes and Metabolism, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (11 papers), Pituitary Gland Disorders and Treatments (6 papers), Gastric Cancer Management and Outcomes (6 papers), Neuroblastoma Research and Treatments (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Renal cell carcinoma treatment (4 papers), Cellular transport and secretion (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). The work is most often cited by research in Epidemiology (476 citations), Endocrinology, Diabetes and Metabolism (174 citations), Cell Biology (179 citations), Oncology (170 citations) and Cellular and Molecular Neuroscience (113 citations). C. Bruns has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include F.W. Kluxen, Hermann Lübbert, Vivek Malhotra, Amy J. Curwin, Juan M. Durán, J. Michael McCaffery, Friedrich Raulf, Ferdinand Hofstaedter, Reinhard Buettner and Lucia Rohrer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Microbiology, Journal of Biological Chemistry, The Journal of Cell Biology and Der Chirurg.

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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