T. Ahlert

882 citations
12 papers · 719 · h-index 10

Impact in

Papers in

    • Immunotherapy and Immune Responses 7
    • Virus-based gene therapy research 5

T. Ahlert

12 papers receiving 658 citations

Peers

T. Ahlert
Comparison fields: 5 of 57
  • Immunology 312
  • Animal Science and Zoology 130
  • Genetics 297
  • Oncology 211
  • Biotechnology 52
Replace Katsunori Shinozaki with:
Katsunori Shinozaki United States
Nicola Philpott United States
Karishma Rajani United States
Emmanouela Linardakis United States
Jai Myung Yang South Korea
R Bonifer Germany
P. Koldovský Germany
Marilyn Fernandez United States
Philomena Hageman Netherlands
Murielle Gantzer France
T. Ahlert relative to Katsunori Shinozaki United States Katsunori Shinozaki's profile →
Citations per field
00.5×2.5×
Katsunori Shinozaki · 1×
Citations per year

Countries citing papers authored by T. Ahlert

Since Specialization
Citations

This map shows the geographic impact of T. Ahlert'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 T. Ahlert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Ahlert more than expected).

Fields of papers citing papers by T. Ahlert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1999122
2
Newcastle disease virus-infected intact autologous tumor cell vaccine for adjuvant active specific immunotherapy of resected colorectal carcinoma.
1996108
3 1998106
4 199793
5 198685
6 200173
7 200364
8
Isolation of a human melanoma adapted Newcastle disease virus mutant with highly selective replication patterns.
199025
9 200223
10 19959
11 20047
12 19894

About T. Ahlert

T. Ahlert is a scholar working on Immunology, Genetics, Molecular Biology, Oncology and Epidemiology, having authored 12 papers that have together received 719 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Virus-based gene therapy research (5 papers), Virology and Viral Diseases (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (2 papers), Animal Virus Infections Studies (2 papers), CRISPR and Genetic Engineering (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Immunology (312 citations), Animal Science and Zoology (130 citations), Genetics (297 citations), Oncology (211 citations) and Biotechnology (52 citations). T. Ahlert has collaborated with scholars based in Germany. Frequent co-authors include Volker Schirrmacher, G. Bastert, Roswitha Gerhards, R Bonifer, C Haas, Axel Hoos, D. Wallwiener, R. Heicappell, Paul von Hoegen and Philipp Beckhove. Their work appears in journals such as International Journal of Oncology, International Journal of Cancer, Journal of Clinical Oncology, Journal of Mammary Gland Biology and Neoplasia and Gynecologic 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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