Daniel Wierda

1.2k citations
23 papers · 863 indexed · h-index 12

Impact in

Papers in

    • Immunotoxicology and immune responses 7
    • Biosimilars and Bioanalytical Methods 4
    • Animal testing and alternatives 4

Daniel Wierda

23 papers receiving 805 citations

Peers

Daniel Wierda
Comparison fields: 5 of 100
  • Immunology 470
  • Radiology, Nuclear Medicine and Imaging 321
  • Chemical Health and Safety 5
  • Small Animals 54
  • Cancer Research 96
Replace Yoko Hirabayashi with:
Yoko Hirabayashi Japan
Kenjiro Yokoro Japan
Anne M. Pilaro United States
Winston Evering United States
R. A. Miller United States
Helen G. Haggerty United States
D. Chimenti Italy
Janet Clarke United States
Shinichi Murao Japan
E. Rogier France
Daniel Wierda relative to Yoko Hirabayashi Japan Yoko Hirabayashi's profile →
Citations per field
00.5×4.5×
Yoko Hirabayashi · 1×
Citations per year

Countries citing papers authored by Daniel Wierda

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wierda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004463
2 200263
3 198247
4 198946
5 199640
6 200135
7 198233
8 201219
9 199819
10 199319
11 198815
12 197913
13 197910
14 19869
15 19907
16 20096
17 20154
18 19814
19 20053
20 19892

About Daniel Wierda

Daniel Wierda is a scholar working on Immunology, Small Animals, Biological Psychiatry, Cancer Research and Endocrine and Autonomic Systems, having authored 23 papers that have together received 863 indexed citations. Recurring topics across this work include Immunotoxicology and immune responses (7 papers), Carcinogens and Genotoxicity Assessment (5 papers), Animal testing and alternatives (4 papers), Biosimilars and Bioanalytical Methods (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Toxic Organic Pollutants Impact (2 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Immunology (470 citations), Radiology, Nuclear Medicine and Imaging (321 citations), Chemical Health and Safety (5 citations), Small Animals (54 citations) and Cancer Research (96 citations). Daniel Wierda has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Eugen Koren, Mauricio Maia, Linda A. Zuckerman, Yu Chen Barrett, Gopi Shankar, G. H. Scott, Elizabeth W. Shores, Anthony R. Mire‐Sluis, Steven J. Swanson and Viswanath Devanarayan. Their work appears in journals such as Toxicology, Biochemical Pharmacology, Immunopharmacology and Immunotoxicology, Microchemical Journal and Advances in experimental medicine and 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026