H. S. Füeßl

779 total papers · 1.6k total citations
53 papers, 1.3k citations indexed

About

H. S. Füeßl is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, H. S. Füeßl has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 14 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Surgery. Recurrent topics in H. S. Füeßl's work include Neuroendocrine Tumor Research Advances (8 papers), Diabetes Treatment and Management (7 papers) and Neuropeptides and Animal Physiology (6 papers). H. S. Füeßl is often cited by papers focused on Neuroendocrine Tumor Research Advances (8 papers), Diabetes Treatment and Management (7 papers) and Neuropeptides and Animal Physiology (6 papers). H. S. Füeßl collaborates with scholars based in United Kingdom, Germany and Italy. H. S. Füeßl's co-authors include Thomas E. Adrian, Stephen R. Bloom, J. M. Polak, A.J. Bacarese-Hamilton, Gian‐Luca Ferri, Gareth Williams, S.R. Bloom, Grace Carolan‐Rees, Richard Long and S R Bloom and has published in prestigious journals such as Gastroenterology, Alimentary Pharmacology & Therapeutics and Diabetic Medicine.

In The Last Decade

H. S. Füeßl

43 papers receiving 1.2k citations

Hit Papers

Human distribution and re... 1985 2026 1998 2012 1985 250 500 750

Author Peers

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

Author Last Decade Papers Cites
H. S. Füeßl 514 381 376 348 306 53 1.3k
Massimo D’Amato 520 1.0× 481 1.3× 363 1.0× 243 0.7× 273 0.9× 36 1.7k
Per Grybäck 676 1.3× 644 1.7× 369 1.0× 149 0.4× 496 1.6× 43 1.7k
P. Lehnert 558 1.1× 395 1.0× 361 1.0× 125 0.4× 142 0.5× 48 1.1k
Simon Lal 328 0.6× 289 0.8× 241 0.6× 121 0.3× 127 0.4× 29 1.2k
R.D.E. Rumsey 240 0.5× 428 1.1× 297 0.8× 120 0.3× 124 0.4× 34 1.2k
I. Welch 235 0.5× 430 1.1× 317 0.8× 107 0.3× 142 0.5× 32 1.6k
Victoria Salem 480 0.9× 623 1.6× 222 0.6× 210 0.6× 592 1.9× 53 1.8k
H S Besterman 193 0.4× 218 0.6× 177 0.5× 400 1.1× 389 1.3× 28 1.3k
Keval Chandarana 646 1.3× 619 1.6× 320 0.9× 130 0.4× 332 1.1× 22 1.3k
Martin Katschinski 221 0.4× 272 0.7× 169 0.4× 140 0.4× 706 2.3× 32 1.3k

Countries citing papers authored by H. S. Füeßl

Since Specialization
Citations

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

Fields of papers citing papers by H. S. Füeßl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. S. Füeßl. 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 H. S. Füeßl. The network helps show where H. S. Füeßl may publish in the future.

Co-authorship network of co-authors of H. S. Füeßl

This figure shows the co-authorship network connecting the top 25 collaborators of H. S. Füeßl. A scholar is included among the top collaborators of H. S. Füeßl 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 H. S. Füeßl. H. S. Füeßl 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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