Daniela Werth

784 citations
12 papers · 659 indexed · h-index 9

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Immune cells in cancer
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

Daniela Werth

12 papers receiving 646 citations

Peers

Daniela Werth
Comparison fields: 5 of 78
  • Immunology 338
  • Oncology 221
  • Hematology 63
  • Parasitology 29
  • Molecular Biology 246
Replace Charles H. Pletcher with:
Charles H. Pletcher United States
Kazutaka Kitaura Japan
Roberta Guglielmino Italy
William Hanna United States
Bruce Merchant United States
Dorothee Jablonski‐Westrich Germany
Norma L. Graber United States
Christiane Guret United States
Socheath Khim United States
Bent Rubin France
Daniela Werth relative to Charles H. Pletcher United States Charles H. Pletcher's profile →
Citations per field
00.5×1.5×
Charles H. Pletcher · 1×
Citations per year

Countries citing papers authored by Daniela Werth

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Werth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 201038
2 2008226
3 200730
4 2007130
5 200781
6 200741
7 200768
8 20074
9 20061
10
[The occurrence and significance of Chlamydia psittaci and Coxiella burnetii in dogs and cats. A study of the literature].
19896
11 198716
12 198718

About Daniela Werth

Daniela Werth is a scholar working on Microbiology, Parasitology, Immunology, Virology and Genetics, having authored 12 papers that have together received 659 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Chronic Lymphocytic Leukemia Research (2 papers), Immune Response and Inflammation (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Reproductive tract infections research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Bartonella species infections research (1 paper). The work is most often cited by research in Immunology (338 citations), Oncology (221 citations), Hematology (63 citations), Parasitology (29 citations) and Molecular Biology (246 citations). Daniela Werth has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Peter Brossart, Frank Grünebach, Katharina M. Brauer, Anita Bringmann, Markus M. Weck, M. Hipp, Norbert Hilf, Harpreet Singh‐Jasuja, Toni Weinschenk and Markus P. Radsak. Their work appears in journals such as Blood, Clinical Cancer Research, Journal of Clinical Oncology, Leukemia and European Journal of Cell Biology.

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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