L. Kerp

1.7k citations
81 papers · 799 indexed · h-index 15

L. Kerp

74 papers receiving 722 citations

Peers

L. Kerp
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 294
  • Behavioral Neuroscience 30
  • Cellular and Molecular Neuroscience 110
  • Genetics 135
  • Rehabilitation 29
Replace RICK J. SCHIEBINGER with:
RICK J. SCHIEBINGER United States
Gordon F. Anderson United States
D. Ikkos Sweden
D. R. Weightman United Kingdom
Gunther Neeck Germany
Margareta Bramnert Sweden
Song Tan China
Curtis R. Partington United States
Susan Firestone United States
F.J. Laso Spain
L. Kerp relative to RICK J. SCHIEBINGER United States RICK J. SCHIEBINGER's profile →
Citations per field
00.5×1.5×1.9×
RICK J. SCHIEBINGER · 1×
Citations per year

Countries citing papers authored by L. Kerp

Since Specialization
Citations

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

Fields of papers citing papers by L. Kerp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20081
2 20084
3 19937
4 199311
5 199218
6 199227
7 19921
8 19919
9 19891
10 19891
11 19894
12 19883
13 19848
14
Beta-adrenoceptor blocking agents induce different counter-regulatory responses to insulin.
19836
15
High and low affinity insulin antibodies.
19765
16
[Membrane specificity for hormones].
19750
17 19711
18 19701
19 19676
20 19616

About L. Kerp

L. Kerp is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology, Radiology, Nuclear Medicine and Imaging, Endocrine and Autonomic Systems and Genetics, having authored 81 papers that have together received 799 indexed citations. Recurring topics across this work include Diabetes and associated disorders (12 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Diabetes Management and Research (11 papers), Pancreatic function and diabetes (10 papers), Glycosylation and Glycoproteins Research (7 papers), Protein purification and stability (6 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (294 citations), Behavioral Neuroscience (30 citations), Cellular and Molecular Neuroscience (110 citations), Genetics (135 citations) and Rehabilitation (29 citations). L. Kerp has collaborated with scholars based in Germany, Denmark and Japan. Frequent co-authors include K.‐G. Petersen, Rainer H. Straub, J Roubíček, W Pöldinger, B. von Graffenried, Emilio del Pozo, Kathrin Schlüter, E. Nüesch, E. del Pozo and Peter Marbach. Their work appears in journals such as Journal of Molecular Medicine, Diabetes, Hormone and Metabolic Research, Journal of Immunological Methods and Diabetes Research and Clinical Practice.

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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