A. M. Landolt

61 total papers · 1.3k total citations
34 papers, 775 citations indexed

About

A. M. Landolt is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Neurology. According to data from OpenAlex, A. M. Landolt has authored 34 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Surgery and 5 papers in Neurology. Recurrent topics in A. M. Landolt's work include Pituitary Gland Disorders and Treatments (23 papers), Growth Hormone and Insulin-like Growth Factors (10 papers) and Adrenal and Paraganglionic Tumors (5 papers). A. M. Landolt is often cited by papers focused on Pituitary Gland Disorders and Treatments (23 papers), Growth Hormone and Insulin-like Growth Factors (10 papers) and Adrenal and Paraganglionic Tumors (5 papers). A. M. Landolt collaborates with scholars based in Switzerland, United Kingdom and Austria. A. M. Landolt's co-authors include J.C. Reubi, Ph. U. Heitz, Jean Claude Reubi, M. Zachmann, Alex N. Eberlé, J. Girard, Anton Valavanis, Stephen L. Atkin, R. V. Jeffreys and E. R. Froesch and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Brain Research and Cellular and Molecular Life Sciences.

In The Last Decade

A. M. Landolt

32 papers receiving 730 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
A. M. Landolt 569 263 180 125 108 34 775
Tsambika Psaras 511 0.9× 184 0.7× 294 1.6× 112 0.9× 104 1.0× 43 815
Alfonso Soto‐Moreno 539 0.9× 238 0.9× 161 0.9× 149 1.2× 80 0.7× 43 744
Eva Venegas‐Moreno 475 0.8× 227 0.9× 145 0.8× 140 1.1× 81 0.8× 33 653
Nigel Mendoza 323 0.6× 172 0.7× 180 1.0× 91 0.7× 123 1.1× 36 624
Nidan Qiao 383 0.7× 126 0.5× 192 1.1× 76 0.6× 99 0.9× 59 656
Nelson Pires Ferreira 401 0.7× 219 0.8× 242 1.3× 123 1.0× 155 1.4× 61 761
Maximilian J. A. Puchner 447 0.8× 198 0.8× 166 0.9× 68 0.5× 207 1.9× 33 795
Peizhi Zhou 258 0.5× 159 0.6× 194 1.1× 176 1.4× 106 1.0× 64 656
S R Ahmed 613 1.1× 113 0.4× 195 1.1× 83 0.7× 96 0.9× 17 886
R. Yoshiyuki Osamura 249 0.4× 171 0.7× 175 1.0× 201 1.6× 61 0.6× 39 779

Countries citing papers authored by A. M. Landolt

Since Specialization
Citations

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

Fields of papers citing papers by A. M. Landolt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. M. Landolt. 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 A. M. Landolt. The network helps show where A. M. Landolt may publish in the future.

Co-authorship network of co-authors of A. M. Landolt

This figure shows the co-authorship network connecting the top 25 collaborators of A. M. Landolt. A scholar is included among the top collaborators of A. M. Landolt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. M. Landolt. A. M. Landolt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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