Daniel Wierda

1.2k citations
23 papers · 934 · h-index 12

Impact in

Papers in

    • Immunotoxicology and immune responses 7
    • Biosimilars and Bioanalytical Methods 4
    • Reproductive System and Pregnancy 2

Daniel Wierda

23 papers receiving 845 citations

Peers

Daniel Wierda
Comparison fields: 5 of 99
  • Immunology 481
  • Radiology, Nuclear Medicine and Imaging 297
  • Small Animals 66
  • Cancer Research 97
  • Toxicology 20
Replace Barbara Mounho with:
Barbara Mounho United States
Winston Evering United States
Yoko Hirabayashi Japan
Anne M. Pilaro United States
Kenjiro Yokoro Japan
Janet Clarke United States
Wayne S. Stillman United States
Shinichi Murao Japan
Clifford Sachs United States
D. Chimenti Italy
Daniel Wierda relative to Barbara Mounho United States Barbara Mounho's profile →
Citations per field
00.5×3.3×
Barbara Mounho · 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 2004489
2 200268
3 198249
4 198948
5 200142
6 199641
7 198236
8 201230
9 199321
10 199821
11 198815
12 197914
13 200911
14 199010
15 197910
16 19869
17 20155
18 19814
19 20053
20 19892

About Daniel Wierda

Daniel Wierda is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Small Animals, having authored 23 papers that have together received 934 indexed citations. Recurring topics across this work include Immunotoxicology and immune responses (7 papers), Carcinogens and Genotoxicity Assessment (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Biosimilars and Bioanalytical Methods (4 papers), Animal testing and alternatives (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Drug Transport and Resistance Mechanisms (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Immunology (481 citations), Radiology, Nuclear Medicine and Imaging (297 citations), Small Animals (66 citations), Cancer Research (97 citations) and Toxicology (20 citations). Daniel Wierda has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Gopi Shankar, Elizabeth W. Shores, Viswanath Devanarayan, G. H. Scott, Eugen Koren, Steven J. Swanson, Anthony R. Mire‐Sluis, Yu Chen Barrett, Mauricio Maia and Linda A. Zuckerman. Their work appears in journals such as Biochemical Pharmacology, Microchemical Journal, Immunopharmacology and Immunotoxicology, Toxicology 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