Timo Weiland

1.0k citations
30 papers · 861 · h-index 14

Impact in

Papers in

    • Histone Deacetylase Inhibitors Research 5
    • Cell death mechanisms and regulation 3
    • Biomedical Text Mining and Ontologies 3
    • Protein Degradation and Inhibitors 2
    • Genomics, phytochemicals, and oxidative stress 2
    • Virus-based gene therapy research 4

Timo Weiland

30 papers receiving 846 citations

Peers

Timo Weiland
Comparison fields: 5 of 84
  • Geriatrics and Gerontology 72
  • Gastroenterology 53
  • Molecular Biology 376
  • Oncology 127
  • Genetics 125
Replace Katarzyna Neubauer with:
Katarzyna Neubauer Poland
Yijun Qi China
Chun‐Jung Lin Taiwan
Xiaolin Zhang China
Gabriele Hölzlwimmer Germany
Hongzhong Zhou China
Qinsong Sheng China
Lydia Brandl Germany
Ruxian Lin United States
Jun Young Jang South Korea
Timo Weiland relative to Katarzyna Neubauer Poland Katarzyna Neubauer's profile →
Citations per field
00.5×
Katarzyna Neubauer · 1×
Citations per year

Countries citing papers authored by Timo Weiland

Since Specialization
Citations

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

Fields of papers citing papers by Timo Weiland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013148
2 2013124
3 2012101
4 201389
5 201352
6 201350
7 201347
8 201335
9 201233
10 201924
11 201321
12 201019
13 202216
14 201113
15
[Prevalence of Borrelia burgdorferi antibodies in Hamburg blood donors].
199211
16 20109
17 20087
18 20247
19 20197
20 20077

About Timo Weiland

Timo Weiland is a scholar working on Molecular Biology, Genetics, Surgery, Animal Science and Zoology and Epidemiology, having authored 30 papers that have together received 861 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (5 papers), Virus-based gene therapy research (4 papers), Cell death mechanisms and regulation (3 papers), Biomedical Text Mining and Ontologies (3 papers), Animal Virus Infections Studies (3 papers), Protein Degradation and Inhibitors (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Vector-borne infectious diseases (2 papers). The work is most often cited by research in Geriatrics and Gerontology (72 citations), Gastroenterology (53 citations), Molecular Biology (376 citations), Oncology (127 citations) and Genetics (125 citations). Timo Weiland has collaborated with scholars based in Germany, Switzerland and Australia. Frequent co-authors include Ulrich M. Lauer, Michael Bitzer, M. O. Schurr, Thomas Gottwald, Sascha Venturelli, Alexander Berger, Thomas S. Weiß, Seema Noor, Christian Leischner and Christian Busch. Their work appears in journals such as PLoS ONE, Molecular Cancer Therapeutics, Journal of Virology, Experimental Hematology and Pharmaceuticals.

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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