Daniel Bedinger

1.5k citations
19 papers · 571 · h-index 10

Impact in

Papers in

Daniel Bedinger

17 papers receiving 553 citations

Peers

Daniel Bedinger
Comparison fields: 5 of 76
  • Physiology 155
  • Radiology, Nuclear Medicine and Imaging 106
  • Molecular Biology 328
  • Cell Biology 53
  • Immunology and Allergy 18
Replace C.P.H.J. Verstijnen with:
C.P.H.J. Verstijnen Netherlands
Helen Kado‐Fong United States
Alexander Yang United States
Sampath K. Loganathan Canada
Ding Chen China
Fei Ji United States
Chika Katagiri Japan
Ju Rang Woo South Korea
Masato Ohta Japan
Roland H. Felkner United States
Daniel Bedinger relative to C.P.H.J. Verstijnen Netherlands C.P.H.J. Verstijnen's profile →
Citations per field
00.5×10×15×19×
C.P.H.J. Verstijnen · 1×
Citations per year

Countries citing papers authored by Daniel Bedinger

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bedinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2013266
2 201562
3 201745
4 201339
5 201532
6 201827
7 202025
8 201422
9 202319
10 201519
11 20156
12 20253
13 20252
14 20231
15 20241
16 20221
17 20231
18 20250
19 20260

About Daniel Bedinger

Daniel Bedinger is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery, Oncology and Physiology, having authored 19 papers that have together received 571 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Protein purification and stability (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (4 papers), CAR-T cell therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Physiology (155 citations), Radiology, Nuclear Medicine and Imaging (106 citations), Molecular Biology (328 citations), Cell Biology (53 citations) and Immunology and Allergy (18 citations). Daniel Bedinger has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Sean H. Adams, Dorothy A. Kieffer, Tamara N. Dunn, Mohamed Ali, Denise E. Lackey, Rajesh Amin, Fawaz G. Haj, Tracy G. Anthony, Ahmed Bettaieb and Paska A. Permana. Their work appears in journals such as mAbs, Journal of Immunological Methods, PLoS ONE, Nature Communications and Journal of Virology.

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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