Silke Weixler

13 total papers · 453 total citations
10 papers, 363 citations indexed

About

Silke Weixler is a scholar working on Neurology, Immunology and Molecular Biology. According to data from OpenAlex, Silke Weixler has authored 10 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 7 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Silke Weixler's work include Neuroblastoma Research and Treatments (7 papers), Immunotherapy and Immune Responses (5 papers) and Virus-based gene therapy research (3 papers). Silke Weixler is often cited by papers focused on Neuroblastoma Research and Treatments (7 papers), Immunotherapy and Immune Responses (5 papers) and Virus-based gene therapy research (3 papers). Silke Weixler collaborates with scholars based in Germany, United States and Austria. Silke Weixler's co-authors include Holger N. Lode, Eckard Hamelmann, Birgit Ahrens, Ricarda Joachim, David Quarcoo, Gerhard Gaedicke, Stefan Fest, Nicole Huebener, Yan Zeng and Markus Hecker and has published in prestigious journals such as Blood, Cancer Research and Annals of the New York Academy of Sciences.

In The Last Decade

Silke Weixler

10 papers receiving 358 citations

Author Peers

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

Author						Papers	Cites
Silke Weixler	153	149	124	120	79	10	363
P. M�ller	78 0.5×	48 0.3×	78 0.6×	130 1.1×	52 0.7×	14	354
Orlev Levy‐Nissenbaum	73 0.5×	20 0.1×	106 0.9×	202 1.7×	56 0.7×	10	354
Judy Wen	65 0.4×	50 0.3×	135 1.1×	215 1.8×	8 0.1×	13	344
Scott M. Bahr	86 0.6×	35 0.2×	32 0.3×	200 1.7×	15 0.2×	10	355
Aoi Shiomi	160 1.0×	21 0.1×	53 0.4×	87 0.7×	26 0.3×	7	351
Ran Salomon	212 1.4×	20 0.1×	139 1.1×	134 1.1×	73 0.9×	9	386
Birgit Teichmann	77 0.5×	22 0.1×	147 1.2×	104 0.9×	29 0.4×	10	324
Ying Chi Ip	29 0.2×	35 0.2×	92 0.7×	162 1.4×	15 0.2×	8	337
Etsuko Shima	146 1.0×	16 0.1×	99 0.8×	144 1.2×	21 0.3×	13	401
Margarete Schön	138 0.9×	19 0.1×	146 1.2×	157 1.3×	23 0.3×	8	397

Countries citing papers authored by Silke Weixler

Since Specialization

Citations

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

Fields of papers citing papers by Silke Weixler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silke Weixler

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