W. Schr�ter

33 total papers · 463 total citations
31 papers, 361 citations indexed

About

W. Schr�ter is a scholar working on Physiology, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, W. Schr�ter has authored 31 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 10 papers in Pediatrics, Perinatology and Child Health and 7 papers in Molecular Biology. Recurrent topics in W. Schr�ter's work include Erythrocyte Function and Pathophysiology (16 papers), Neonatal Health and Biochemistry (8 papers) and Hemoglobin structure and function (4 papers). W. Schr�ter is often cited by papers focused on Erythrocyte Function and Pathophysiology (16 papers), Neonatal Health and Biochemistry (8 papers) and Hemoglobin structure and function (4 papers). W. Schr�ter collaborates with scholars based in Germany, Israel and United Kingdom. W. Schr�ter's co-authors include Wolfgang Tillmann, Manfred Gahr, G. Prindull, M. Lakomek, Stefan Eber, Kathrin Becker, K. Kasperek, I. Lombeck, H. J. Bremer and L. E. Feinendegen and has published in prestigious journals such as Human Genetics, Human Mutation and Journal of Molecular Medicine.

In The Last Decade

W. Schr�ter

30 papers receiving 320 citations

Author Peers

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

Author						Papers	Cites
W. Schr�ter	166	98	79	77	62	31	361
F Matsumoto	136 0.8×	108 1.1×	25 0.3×	21 0.3×	114 1.8×	32	349
Jack M. Cooperman	53 0.3×	67 0.7×	73 0.9×	37 0.5×	81 1.3×	20	371
Pavel Kraml	62 0.4×	24 0.2×	50 0.6×	110 1.4×	65 1.0×	47	390
G. W. L�hr	187 1.1×	109 1.1×	11 0.1×	55 0.7×	72 1.2×	17	325
J. Bakker	91 0.5×	52 0.5×	16 0.2×	68 0.9×	105 1.7×	33	366
G. W. L�hr	180 1.1×	93 0.9×	10 0.1×	60 0.8×	94 1.5×	17	362
Hannelore Hampl	135 0.8×	17 0.2×	43 0.5×	65 0.8×	145 2.3×	19	381
Jana Potočková	123 0.7×	14 0.1×	56 0.7×	70 0.9×	82 1.3×	37	386
Fred J. Oelshlegel	87 0.5×	42 0.4×	120 1.5×	112 1.5×	58 0.9×	15	332
Kaya Emerk	61 0.4×	19 0.2×	37 0.5×	28 0.4×	87 1.4×	30	380

Countries citing papers authored by W. Schr�ter

Since Specialization

Citations

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

Fields of papers citing papers by W. Schr�ter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Schr�ter. 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 W. Schr�ter. The network helps show where W. Schr�ter may publish in the future.

Co-authorship network of co-authors of W. Schr�ter

This figure shows the co-authorship network connecting the top 25 collaborators of W. Schr�ter. A scholar is included among the top collaborators of W. Schr�ter 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 W. Schr�ter. W. Schr�ter 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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