G Reichel

244 total papers · 1.8k total citations
116 papers, 1.1k citations indexed

About

G Reichel is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Neurology. According to data from OpenAlex, G Reichel has authored 116 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Pulmonary and Respiratory Medicine, 20 papers in Physiology and 18 papers in Neurology. Recurrent topics in G Reichel's work include Chronic Obstructive Pulmonary Disease (COPD) Research (21 papers), Respiratory Support and Mechanisms (19 papers) and Botulinum Toxin and Related Neurological Disorders (16 papers). G Reichel is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (21 papers), Respiratory Support and Mechanisms (19 papers) and Botulinum Toxin and Related Neurological Disorders (16 papers). G Reichel collaborates with scholars based in Germany, Austria and United States. G Reichel's co-authors include W. T. Ulmer, Dan Ziegler, Heinz Ulrich, Helmut Schatz, F. A. Gries, H. Mehnert, Hans Tritschler, M. Reljanović, M Lobisch and K. Rett and has published in prestigious journals such as Diabetes Care, Radiology and Annals of the New York Academy of Sciences.

In The Last Decade

G Reichel

80 papers receiving 858 citations

Author Peers

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

Author						Papers	Cites
G Reichel	377	285	275	207	106	116	1.1k
Joseph F. Fazekas	594 1.6×	151 0.5×	256 0.9×	77 0.4×	171 1.6×	77	1.4k
L Craig Wagerle	298 0.8×	252 0.9×	148 0.5×	75 0.4×	80 0.8×	53	1.0k
Shoujiang You	344 0.9×	119 0.4×	217 0.8×	187 0.9×	123 1.2×	98	1.5k
Jean‐Claude Desport	667 1.8×	365 1.3×	121 0.4×	66 0.3×	125 1.2×	102	1.5k
Heinz Redl	153 0.4×	190 0.7×	148 0.5×	66 0.3×	144 1.4×	54	930
Marco Sardina	227 0.6×	187 0.7×	358 1.3×	64 0.3×	134 1.3×	44	1.0k
Kotaro Miyashita	164 0.4×	83 0.3×	161 0.6×	65 0.3×	167 1.6×	76	1.0k
Kenichiro Fujii	209 0.6×	187 0.7×	163 0.6×	44 0.2×	55 0.5×	40	949
R.A. MILLAR	267 0.7×	114 0.4×	144 0.5×	58 0.3×	168 1.6×	62	1.0k
Akiro Terashi	150 0.4×	185 0.6×	228 0.8×	51 0.2×	108 1.0×	65	1.4k

Countries citing papers authored by G Reichel

Since Specialization

Citations

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

Fields of papers citing papers by G Reichel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Reichel

This figure shows the co-authorship network connecting the top 25 collaborators of G Reichel. A scholar is included among the top collaborators of G Reichel 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 G Reichel. G Reichel 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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