Sven Eisold

440 citations
21 papers · 227 · h-index 9

Impact in

    • Pancreatic and Hepatic Oncology Research
    • CAR-T cell therapy research
    • Cancer Research and Treatments

Papers in

    • CAR-T cell therapy research 5
    • Pancreatic and Hepatic Oncology Research 2
    • Virus-based gene therapy research 5

Sven Eisold

21 papers receiving 223 citations

Peers

Sven Eisold
Comparison fields: 5 of 44
  • Oncology 105
  • Biotechnology 30
  • Immunology 61
  • Transplantation 4
  • Genetics 37
Replace Maurizio Nava with:
Maurizio Nava Italy
J.A. Vidart Spain
Jesus C. Fabregas United States
Felix Weihsengruber Austria
Futoshi Kawamata Japan
Lorna Grove United Kingdom
Robert Power Ireland
François Audhuy United States
Gareth Rivalland Australia
Sven Eisold relative to Maurizio Nava Italy Maurizio Nava's profile →
Citations per field
00.5×10×14×
Maurizio Nava · 1×
Citations per year

Countries citing papers authored by Sven Eisold

Since Specialization
Citations

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

Fields of papers citing papers by Sven Eisold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200438
2 200327
3 200426
4 201224
5 200021
6 200213
7 200611
8 20098
9 20048
10 20088
11 20077
12 20006
13 20116
14 20005
15 20095
16 20144
17 20063
18 20023
19
Influence of Chemotherapeutic Treatment on Expression of Human Multidrug Resistance Protein (ABCC, ABCB) Family Members in Pancreatic Cancer Cell Lines
20132
20 19961

About Sven Eisold

Sven Eisold is a scholar working on Oncology, Genetics, Molecular Biology, Surgery and Epidemiology, having authored 21 papers that have together received 227 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Oncology (105 citations), Biotechnology (30 citations), Immunology (61 citations), Transplantation (4 citations) and Genetics (37 citations). Sven Eisold has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Jan Schmidt, Michael Linnebacher, Eduard Ryschich, Magnus von Knebel Doeberitz, Guido Alsfasser, Julien Schmidt, Margot Zöller, Karin Haack, Frank Autschbach and Johannes Gebert. Their work appears in journals such as Cancer Gene Therapy, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Pancreas, Cancer Immunology Immunotherapy and Cancer.

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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