Maria‐Luisa Schubert

2.4k citations
40 papers · 1.2k indexed · 1 hit paper · h-index 20
Topics
CAR-T cell therapy research (37 papers)Virus-based gene therapy research (17 papers)Viral Infectious Diseases and Gene Expression in Insects (10 papers)
Partner nations
GermanyChinaJapan

In The Last Decade

Maria‐Luisa Schubert

40 papers receiving 1.2k citations

Hit Papers

Side-effect management of chimeric antigen receptor (CAR)...20202026202220242020100200300

Peers

Maria‐Luisa Schubert
Comparison fields: 5 of 54
  • Oncology 1.0k
  • Molecular Biology 397
  • Genetics 339
  • Immunology 335
  • Biomedical Engineering 291
Replace Yongxian Hu with:
Yongxian Hu China
Haruko Tashiro Japan
Colleen Callahan United States
Corinne Summers United States
Dimitrios L. Wagner Germany
Reona Sakemura United States
Hannah Brakke United States
Anthony F. Daniyan United States
Margherita Norelli Italy
Quanshun Wang China
Maria‐Luisa Schubert relative to Yongxian Hu China Yongxian Hu's profile →
Citations per field
00.5×1.5×
Yongxian Hu · 1×
Citations per year

Countries citing papers authored by Maria‐Luisa Schubert

Since Specialization
Citations

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

Fields of papers citing papers by Maria‐Luisa Schubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria‐Luisa Schubert. 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 Maria‐Luisa Schubert. The network helps show where Maria‐Luisa Schubert may publish in the future.

Co-authorship network of co-authors of Maria‐Luisa Schubert

This figure shows the co-authorship network connecting the top 25 collaborators of Maria‐Luisa Schubert. A scholar is included among the top collaborators of Maria‐Luisa Schubert 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 Maria‐Luisa Schubert. Maria‐Luisa Schubert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 18
2 3
3 9
4 4
5 9
6 4
7 9
8 2
9 14
10 52
11 9
12 28
13 32
14 32
15 13
16 24
17 15
18 17
19 33
20 21

About Maria‐Luisa Schubert

Maria‐Luisa Schubert is a scholar working on Oncology, Genetics and Hematology, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (37 papers), Virus-based gene therapy research (17 papers) and Viral Infectious Diseases and Gene Expression in Insects (10 papers). The work is most often cited by research in Oncology (1.0k citations), Immunology (335 citations) and Genetics (339 citations). Maria‐Luisa Schubert has collaborated with scholars based in Germany, China and Japan. Frequent co-authors include Michael Schmitt, Carsten Müller‐Tidow, Peter Dreger, Karin Jordan, Carlos A. Ramos, Anita Schmitt, Brigitte Neuber, Lei Wang, Leopold Sellner and Susanne Hofmann. Their work appears in journals such as Blood, International Journal of Molecular Sciences and Annals of 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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