G. Schlag

58 total papers · 806 total citations
38 papers, 566 citations indexed

About

G. Schlag is a scholar working on Epidemiology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, G. Schlag has authored 38 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in G. Schlag's work include Sepsis Diagnosis and Treatment (5 papers), Immune Response and Inflammation (5 papers) and Renal function and acid-base balance (3 papers). G. Schlag is often cited by papers focused on Sepsis Diagnosis and Treatment (5 papers), Immune Response and Inflammation (5 papers) and Renal function and acid-base balance (3 papers). G. Schlag collaborates with scholars based in Austria, United States and Netherlands. G. Schlag's co-authors include Heinz Redl, Soheyl Bahrami, Yong-Ming Yao, H. Redl, R. J. A. Goris, Willi Koller, Walter Sandtner, Rudi M. H. Roumen, Daniel L. Traber and L. D. Traber and has published in prestigious journals such as Anesthesiology, Clinical Chemistry and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

G. Schlag

37 papers receiving 548 citations

Author Peers

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

Author						Papers	Cites
G. Schlag	181	154	127	97	94	38	566
H. Dittmer	184 1.0×	92 0.6×	179 1.4×	90 0.9×	137 1.5×	31	570
Hinshaw Lb	197 1.1×	110 0.7×	112 0.9×	68 0.7×	68 0.7×	33	556
Jessica Deree	119 0.7×	94 0.6×	172 1.4×	95 1.0×	81 0.9×	20	594
L. T. Archer	246 1.4×	139 0.9×	102 0.8×	68 0.7×	31 0.3×	36	627
Rebecca Halbgebauer	127 0.7×	196 1.3×	99 0.8×	105 1.1×	72 0.8×	30	626
Douglas Y. Tamura	154 0.9×	173 1.1×	74 0.6×	144 1.5×	100 1.1×	19	634
Thomas E. Emerson	180 1.0×	120 0.8×	101 0.8×	79 0.8×	29 0.3×	24	539
Balázs Hauser	147 0.8×	68 0.4×	70 0.6×	85 0.9×	85 0.9×	43	571
Junichi Aiboshi	78 0.4×	115 0.7×	149 1.2×	76 0.8×	74 0.8×	33	557
Tomohiko Masuno	123 0.7×	53 0.3×	191 1.5×	142 1.5×	137 1.5×	41	602

Countries citing papers authored by G. Schlag

Since Specialization

Citations

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

Fields of papers citing papers by G. Schlag

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Schlag

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