Sven Eisold

437 citations
20 papers · 217 · h-index 9

Impact in

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

Papers in

    • CAR-T cell therapy research 7
    • Pancreatic and Hepatic Oncology Research 4
    • Pancreatitis Pathology and Treatment 2

Sven Eisold

20 papers receiving 214 citations

Peers

Sven Eisold
Comparison fields: 5 of 52
  • Oncology 132
  • Biotechnology 34
  • Immunology 64
  • Transplantation 5
  • Genetics 41
Replace Maurizio Nava with:
Maurizio Nava Italy
Felix Weihsengruber Austria
Ian Pope United Kingdom
Gareth Rivalland Australia
Elizabeth D. Thompson United States
Lorna Grove United Kingdom
Johannes Hänsler Germany
Azam Ghafoor United States
Robert C. Squatrito United States
Alissa Keegan United States
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
#Work
1 200437
2 200327
3 200424
4 201224
5 200021
6 200212
7 200611
8 20088
9 20098
10 20047
11 20077
12 20116
13 20006
14 20005
15 20144
16 20023
17 20063
18
Influence of Chemotherapeutic Treatment on Expression of Human Multidrug Resistance Protein (ABCC, ABCB) Family Members in Pancreatic Cancer Cell Lines
20132
19 19961
20 20131

About Sven Eisold

Sven Eisold is a scholar working on Oncology, Surgery, Genetics, Immunology and Molecular Biology, having authored 20 papers that have together received 217 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Virus-based gene therapy research (6 papers), Pancreatic and Hepatic Oncology Research (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer Research and Treatments (3 papers), RNA Interference and Gene Delivery (3 papers), Pancreatitis Pathology and Treatment (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Oncology (132 citations), Biotechnology (34 citations), Immunology (64 citations), Transplantation (5 citations) and Genetics (41 citations). Sven Eisold has collaborated with scholars based in Germany, United States and France. Frequent co-authors include E. Klar, Jan Schmidt, Michael Linnebacher, Eduard Ryschich, Magnus von Knebel Doeberitz, Guido Alsfasser, Julien Schmidt, Frank Autschbach, Margot Zöller and M W Büchler. Their work appears in journals such as Cancer Gene Therapy, Cancer, Surgery, European Journal of Cancer and Cancer Immunology Immunotherapy.

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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