Siegfried Scholz

77 total papers · 671 total citations
20 papers, 500 citations indexed

About

Siegfried Scholz is a scholar working on Immunology, Epidemiology and Hematology. According to data from OpenAlex, Siegfried Scholz has authored 20 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 4 papers in Epidemiology and 3 papers in Hematology. Recurrent topics in Siegfried Scholz's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and Reproductive System and Pregnancy (3 papers). Siegfried Scholz is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and Reproductive System and Pregnancy (3 papers). Siegfried Scholz collaborates with scholars based in Germany, Sweden and Switzerland. Siegfried Scholz's co-authors include E. D. Albert, Robert M. Hoffmann, Gert Riethmüller, Hans Nitschko, Maria–Christina Jung, Helmut M. Diepolder, Gerd R. Pape, Roman Zachoval, Dietrich Knorr and Elisabeth Keller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Hepatology.

In The Last Decade

Siegfried Scholz

19 papers receiving 470 citations

Author Peers

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

Author						Papers	Cites
Siegfried Scholz	196	125	98	93	82	20	500
A. L. Hepburn	215 1.1×	140 1.1×	127 1.3×	87 0.9×	193 2.4×	16	611
José R. García‐Lozano	158 0.8×	251 2.0×	251 2.6×	85 0.9×	145 1.8×	27	604
G. Cavanagh	188 1.0×	86 0.7×	86 0.9×	37 0.4×	89 1.1×	25	587
G. Kaplanski	193 1.0×	75 0.6×	70 0.7×	134 1.4×	90 1.1×	20	523
Yoshinobu Koyama	258 1.3×	79 0.6×	164 1.7×	151 1.6×	78 1.0×	25	586
Peter Eerligh	290 1.5×	29 0.2×	53 0.5×	105 1.1×	77 0.9×	19	577
Marco Folci	114 0.6×	29 0.2×	67 0.7×	91 1.0×	118 1.4×	20	583
Hidehiko Saito	97 0.5×	60 0.5×	70 0.7×	123 1.3×	14 0.2×	26	544
Margaret A. Reisberg	226 1.2×	18 0.1×	61 0.6×	82 0.9×	59 0.7×	15	499
M. Eric Gershwin	125 0.6×	50 0.4×	85 0.9×	48 0.5×	137 1.7×	15	459

Countries citing papers authored by Siegfried Scholz

Since Specialization

Citations

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

Fields of papers citing papers by Siegfried Scholz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siegfried Scholz

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