Philipp Sievers

4.9k citations
31 papers · 351 · h-index 10

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Neurology top 10%
    • Neurofibromatosis and Schwannoma Cases
    • Neuroblastoma Research and Treatments

Papers in

    • Glioma Diagnosis and Treatment 23
    • Chromatin Remodeling and Cancer 8
    • Hedgehog Signaling Pathway Studies 3

Philipp Sievers

27 papers receiving 347 citations

Peers

Philipp Sievers
Comparison fields: 5 of 43
  • Genetics 192
  • Neurology 141
  • Epidemiology 140
  • Cancer Research 31
  • Endocrinology, Diabetes and Metabolism 34
Replace Patrícia H. Domingues with:
Patrícia H. Domingues Portugal
Melissa Umphlett United States
Laura Ruíz Spain
Ina Ly United States
Tetsuo Hashiba Japan
Ralf Ketter Germany
Balázs Murnyák Hungary
Tobias Goschzik Germany
Shunchang Ma China
Cody L. Nesvick United States
Philipp Sievers relative to Patrícia H. Domingues Portugal Patrícia H. Domingues's profile →
Citations per field
00.5×6.3×
Patrícia H. Domingues · 1×
Citations per year

Countries citing papers authored by Philipp Sievers

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Sievers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philipp Sievers, 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 Philipp Sievers Line = papers co-authored together Philipp Sievers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202198
2 202068
3 202230
4 202126
5 201620
6 202218
7 202311
8 202110
9 202310
10 20239
11 20218
12 20227
13 20155
14 20225
15 20234
16 20194
17 20204
18 20242
19 20242
20 20232

About Philipp Sievers

Philipp Sievers is a scholar working on Genetics, Molecular Biology, Neurology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 351 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (23 papers), Chromatin Remodeling and Cancer (8 papers), Meningioma and schwannoma management (7 papers), Neurofibromatosis and Schwannoma Cases (6 papers), Neuroblastoma Research and Treatments (5 papers), Hedgehog Signaling Pathway Studies (3 papers), Ferroptosis and cancer prognosis (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Genetics (192 citations), Neurology (141 citations), Epidemiology (140 citations), Cancer Research (31 citations) and Endocrinology, Diabetes and Metabolism (34 citations). Philipp Sievers has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Damian Stichel, Daniel Schrimpf, Felix Sahm, Sybren L. N. Maas, Thomas Hielscher, Michael Weller, Elisabeth J. Rushing, Hans‐Georg Wirsching, Anna S. Berghoff and David Jones. Their work appears in journals such as Acta Neuropathologica Communications, Acta Neuropathologica, Neuro-Oncology, Brain Pathology and Journal of Neuro-Oncology.

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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