M Deschodt-Lanckman

3.5k citations
86 papers · 2.9k indexed · h-index 31

M Deschodt-Lanckman

86 papers receiving 2.7k citations

Peers

M Deschodt-Lanckman
Comparison fields: 5 of 101
  • Cellular and Molecular Neuroscience 1.2k
  • Pharmacology 407
  • Nephrology 221
  • Radiology, Nuclear Medicine and Imaging 539
  • Endocrinology, Diabetes and Metabolism 335
Replace Geoffrey J. Blackwell with:
Geoffrey J. Blackwell United Kingdom
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M Deschodt-Lanckman relative to Geoffrey J. Blackwell United Kingdom Geoffrey J. Blackwell's profile →
Citations per field
00.5×9.0×
Geoffrey J. Blackwell · 1×
Citations per year

Countries citing papers authored by M Deschodt-Lanckman

Since Specialization
Citations

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

Fields of papers citing papers by M Deschodt-Lanckman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M Deschodt-Lanckman. 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 M Deschodt-Lanckman. The network helps show where M Deschodt-Lanckman may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20151
2 200867
3 2007163
4 200632
5 200429
6 200083
7 19975
8 199755
9 19964
10
Values of Neutral Endopeptidase 24.11 As a Tubular Marker in Human Renal Interstitial Fibrosis With Tubular Atrophy
19942
11 19932
12 199211
13 199126
14 199026
15 198922
16 198882
17 198830
18
Wheat germ agglutinin inhibits basal- and stimulated-adenylate cyclase activity as well as the binding of [3H] caerulein to rat pancreatic plasma membranes.
19774
19
Effects of somatostatin on pancreatic exocrine function. Interaction with secretin.
19753
20
[Dietetic induction of pancreatic hydrolases in weaned rats].
19711

About M Deschodt-Lanckman

M Deschodt-Lanckman is a scholar working on Cellular and Molecular Neuroscience, Oncology and Endocrinology, Diabetes and Metabolism, having authored 86 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (39 papers), Peptidase Inhibition and Analysis (30 papers), Pancreatic function and diabetes (20 papers), Diabetes Treatment and Management (9 papers), Receptor Mechanisms and Signaling (8 papers), Nephrotoxicity and Medicinal Plants (7 papers), Protease and Inhibitor Mechanisms (6 papers) and Protein Hydrolysis and Bioactive Peptides (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Pharmacology (407 citations) and Nephrology (221 citations). M Deschodt-Lanckman has collaborated with scholars based in Belgium, France and United Kingdom. Frequent co-authors include Patrick Robberecht, Jean Christophe, Philippe De Neef, Joëlle Nortier, Jean‐Louis Vanherweghem, Frederic Debellé, Isabelle Salmon, J Camus, Tomé Najdovski and Eric G. De Prez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

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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