Ingrid Langer

1.2k citations
53 papers · 987 · h-index 20

Impact in

Papers in

Ingrid Langer

52 papers receiving 960 citations

Peers

Ingrid Langer
Comparison fields: 5 of 92
  • Cellular and Molecular Neuroscience 553
  • Molecular Biology 644
  • Endocrinology, Diabetes and Metabolism 132
  • Oncology 164
  • Pharmaceutical Science 34
Replace Andréa Paradisi with:
Andréa Paradisi Italy
Muriel Nobles United Kingdom
María M. Caffarel Spain
Robert George United States
Mei Zheng South Korea
L Singh United States
J. Erik Jorpes Sweden
Sosuke Miyoshi Japan
Eileen L. Watson United States
J. D. Gardner United States
Ingrid Langer relative to Andréa Paradisi Italy Andréa Paradisi's profile →
Citations per field
00.5×3.8×
Andréa Paradisi · 1×
Citations per year

Countries citing papers authored by Ingrid Langer

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Langer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200176
2 200065
3 201652
4 199745
5 200742
6 201438
7 202237
8 201634
9 200233
10 200733
11 200531
12 200731
13 201231
14 201027
15 200525
16 200425
17 200224
18 200122
19 200519
20 200219

About Ingrid Langer

Ingrid Langer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 53 papers that have together received 987 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (37 papers), Receptor Mechanisms and Signaling (37 papers), Peptidase Inhibition and Analysis (16 papers), Chemical Synthesis and Analysis (8 papers), Inhalation and Respiratory Drug Delivery (5 papers), Diabetes Treatment and Management (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Nanoparticle-Based Drug Delivery (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (553 citations), Molecular Biology (644 citations), Endocrinology, Diabetes and Metabolism (132 citations), Oncology (164 citations) and Pharmaceutical Science (34 citations). Ingrid Langer has collaborated with scholars based in Belgium, France and Poland. Frequent co-authors include Patrick Robberecht, Jason Perret, Pascale Vertongen, Magalì Waelbroeck, Daniel Fourmy, Irina G. Tikhonova, Jeanine Fontaine, Christelle Langlet, Chantal Escrieut and Rosa M. Solano. Their work appears in journals such as Peptides, Journal of Biological Chemistry, British Journal of Pharmacology, Molecular Pharmacology and Cellular Signalling.

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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