Simone Schmid

81 papers receiving 2.9k citations

Simone Schmid's Hit Papers

Practical implementation of DNA methylation and copy-number-based CNS tumor diagnostics: the Heidelberg experience 2018 · 413 citations
4130+2+5Years since publication100200300400

Peers

Simone Schmid
Comparison fields: 5 of 131
  • Genetics 508
  • Pharmacology 558
  • Dermatology 281
  • Cancer Research 331
  • Rheumatology 294
Replace Rafael Botella‐Estrada with:
Rafael Botella‐Estrada Spain
Rosemary J. Sutton Australia
Masakazu Nakano Japan
Ramón Merino Spain
Michael R. Dictor Sweden
Biao Q Zheng United States
Orlando Domı́nguez Spain
Roberta Zanotti Italy
Peter W. Nichols United States
Patrick J. Smits United States
Simone Schmid relative to Rafael Botella‐Estrada Spain Rafael Botella‐Estrada's profile →
Citations per field
00.5×2×4×6×7.8×
Rafael Botella‐Estrada · 1×
Citations per year

Countries citing papers authored by Simone Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Simone Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simone Schmid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simone Schmid Line = papers co-authored together Simone Schmid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Practical implementation of DNA methylation and copy-number-based CNS tumor diagnostics: the Heidelberg experience
Hit paper breakdown →
2018413
2 2001295
3 2007169
4 1997128
5 2002115
6 2002112
7 200194
8 200277
9 200871
10 201469
11 202162
12 202061
13 201961
14 202259
15 201857
16 201755
17 200853
18 200750
19 200146
20 201044

About Simone Schmid

Simone Schmid is a scholar working on Genetics, Cancer Research, Cell Biology, Molecular Biology and Rheumatology, having authored 87 papers that have together received 3.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (17 papers), Cellular transport and secretion (7 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Drug-Induced Adverse Reactions (5 papers), Chromatin Remodeling and Cancer (5 papers), MicroRNA in disease regulation (5 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Meningioma and schwannoma management (4 papers). The work is most often cited by research in Genetics (508 citations), Pharmacology (558 citations), Dermatology (281 citations), Cancer Research (331 citations) and Rheumatology (294 citations). Simone Schmid has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Werner J. Pichler, Nikhil Yawalkar, Monilola A. Olayioye, Markus Britschgi, Jan P.H. Depta, Urs Christian Steiner, Angelika Haußer, Lasse Roger Braathen, Christoph Burkhart and Andreas J. Bircher. Their work appears in journals such as Acta Neuropathologica, Neuro-Oncology, Cancer Research, Journal of Cell Science and Allergy.

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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