Nikolai Siebert

1.3k citations
43 papers · 917 · h-index 17

Impact in

  • Neurology top 2%
    • Neuroblastoma Research and Treatments
  • Oncology top 10%
    • CAR-T cell therapy research
    • Lung Cancer Research Studies

Papers in

    • Neuroblastoma Research and Treatments 32
    • CAR-T cell therapy research 7
    • Lung Cancer Research Studies 5

Nikolai Siebert

42 papers receiving 906 citations

Peers

Nikolai Siebert
Comparison fields: 5 of 71
  • Neurology 425
  • Oncology 313
  • Immunology 212
  • Cancer Research 102
  • Biochemistry 53
Replace Gang Feng Xiao with:
Gang Feng Xiao China
Junichi Furuta Japan
Laura Antonucci Italy
Christian Dierkes Germany
Kanika A. Bowen United States
Ilan Ifergan Israel
Ning Yang China
Paola Paterini Italy
Marta Łukaszewicz‐Zając Poland
Junfeng Zhang China
Nikolai Siebert relative to Gang Feng Xiao China Gang Feng Xiao's profile →
Citations per field
00.5×2×4×6.9×
Gang Feng Xiao · 1×
Citations per year

Countries citing papers authored by Nikolai Siebert

Since Specialization
Citations

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

Fields of papers citing papers by Nikolai Siebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201993
2 200865
3 201756
4 201754
5 200947
6 201647
7 200845
8 201643
9 201343
10 200941
11 201139
12 202037
13 201536
14 201425
15 202020
16 201818
17 201918
18 201816
19 202315
20 201614

About Nikolai Siebert

Nikolai Siebert is a scholar working on Neurology, Oncology, Genetics, Immunology and Hepatology, having authored 43 papers that have together received 917 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (32 papers), Cancer therapeutics and mechanisms (9 papers), CAR-T cell therapy research (7 papers), Lung Cancer Research Studies (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Glioma Diagnosis and Treatment (4 papers), Liver Disease and Transplantation (4 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Neurology (425 citations), Oncology (313 citations), Immunology (212 citations), Cancer Research (102 citations) and Biochemistry (53 citations). Nikolai Siebert has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Holger N. Lode, Brigitte Vollmar, Maxi Zumpe, Sascha Troschke‐Meurer, Christian Eipel, Karoline Ehlert, Diana Seidel, Daniel Cantré, Kerstin Abshagen and Silke Kietz. Their work appears in journals such as Cancers, OncoImmunology, PLoS ONE, Cancer Immunology Immunotherapy and mAbs.

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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