Walter Rachinger

58 total papers · 2.0k total citations
34 papers, 1.5k citations indexed

About

Walter Rachinger is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Walter Rachinger has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 11 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Genetics. Recurrent topics in Walter Rachinger's work include Glioma Diagnosis and Treatment (10 papers), Pituitary Gland Disorders and Treatments (9 papers) and Meningioma and schwannoma management (9 papers). Walter Rachinger is often cited by papers focused on Glioma Diagnosis and Treatment (10 papers), Pituitary Gland Disorders and Treatments (9 papers) and Meningioma and schwannoma management (9 papers). Walter Rachinger collaborates with scholars based in Germany, United States and Austria. Walter Rachinger's co-authors include Klaus Tatsch, Jörg‐Christian Tonn, Jochen Herms, Friedrich W. Kreth, Gabriele Pöpperl, Franz‐Josef Gildehaus, Christian Schichor, Markus Holtmannspötter, Niklas Thon and Claudia Goetz and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Journal of neurosurgery.

In The Last Decade

Walter Rachinger

32 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
Walter Rachinger	759	580	347	335	300	34	1.5k
Samantha J. Mills	435 0.6×	691 1.2×	425 1.2×	126 0.4×	154 0.5×	55	1.4k
Joseph Bovi	654 0.9×	333 0.6×	385 1.1×	109 0.3×	164 0.5×	63	1.2k
Carmelo Anile	668 0.9×	150 0.3×	438 1.3×	579 1.7×	380 1.3×	58	1.7k
Marcel Seiz	443 0.6×	280 0.5×	178 0.5×	94 0.3×	126 0.4×	46	1.1k
Tareq A. Juratli	662 0.9×	253 0.4×	332 1.0×	133 0.4×	142 0.5×	90	1.4k
Brian Haylock	651 0.9×	201 0.3×	347 1.0×	116 0.3×	229 0.8×	42	1.2k
Hani Malone	506 0.7×	214 0.4×	168 0.5×	126 0.4×	277 0.9×	31	1.1k
Steven R. Isaacson	724 1.0×	156 0.3×	409 1.2×	87 0.3×	184 0.6×	45	1.4k
Toshihiko Iuchi	572 0.8×	184 0.3×	246 0.7×	201 0.6×	176 0.6×	54	1.3k
Hsin H Lu	260 0.3×	303 0.5×	491 1.4×	95 0.3×	387 1.3×	26	1.7k

Countries citing papers authored by Walter Rachinger

Since Specialization

Citations

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

Fields of papers citing papers by Walter Rachinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Walter Rachinger

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