Doris Wiener

1.1k citations
32 papers · 839 · h-index 18

Impact in

    • Pharmacogenetics and Drug Metabolism
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Drug Transport and Resistance Mechanisms

Papers in

Doris Wiener

32 papers receiving 816 citations

Peers

Doris Wiener
Comparison fields: 5 of 80
  • Pharmacology 139
  • Oncology 222
  • Nutrition and Dietetics 122
  • Immunology 160
  • Cancer Research 84
Replace Jane G. Binz with:
Jane G. Binz United States
Valery N. Bochkov Austria
Annette Grambihler Germany
Yukito Adachi Japan
Ying Mu United States
Adriaan Brouwer Netherlands
Sandra Kalthoff Germany
Natalia Rosso Italy
Maowen Hu United States
Tomoki Nakajima Japan
Doris Wiener relative to Jane G. Binz United States Jane G. Binz's profile →
Citations per field
00.5×3.6×
Jane G. Binz · 1×
Citations per year

Countries citing papers authored by Doris Wiener

Since Specialization
Citations

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

Fields of papers citing papers by Doris Wiener

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200481
2 201979
3
Characterization of benzo(a)pyrene-trans-7,8-dihydrodiol glucuronidation by human tissue microsomes and overexpressed UDP-glucuronosyltransferase enzymes.
200279
4 200473
5 200559
6 200251
7 201643
8 199042
9 201942
10 202142
11 199739
12 202032
13 202128
14 199127
15 201827
16 200726
17 197525
18 202219
19 20113
20 20113

About Doris Wiener

Doris Wiener is a scholar working on Immunology, Molecular Biology, Oncology, Nutrition and Dietetics and Cancer Research, having authored 32 papers that have together received 839 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (5 papers), Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (4 papers), Antioxidant Activity and Oxidative Stress (4 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Neonatal Respiratory Health Research (3 papers). The work is most often cited by research in Pharmacology (139 citations), Oncology (222 citations), Nutrition and Dietetics (122 citations), Immunology (160 citations) and Cancer Research (84 citations). Doris Wiener has collaborated with scholars based in United States and China. Frequent co-authors include Philip Lazarus, Jia‐Long Fang, Daniel R. Doerge, Krithika N. Kodumudi, Amrita Basu, Brian J. Czerniecki, Jane D. Carver, Ganesan Ramamoorthi, Yongsheng Jia and Pramod Upadhyaya. Their work appears in journals such as Cancer Research, The FASEB Journal, Pediatric Research, Molecular Therapy and Journal of Clinical Laboratory Analysis.

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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