Daniel Bedinger

1.4k citations
18 papers · 534 · h-index 10

Impact in

  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies
    • Metabolomics and Mass Spectrometry Studies
    • Metabolism, Diabetes, and Cancer
    • Glycosylation and Glycoproteins Research

Papers in

Daniel Bedinger

16 papers receiving 511 citations

Peers

Daniel Bedinger
Comparison fields: 5 of 73
  • Physiology 213
  • Molecular Biology 355
  • Radiology, Nuclear Medicine and Imaging 102
  • Cell Biology 59
  • Endocrinology, Diabetes and Metabolism 51
Replace Susan P. Fuller with:
Susan P. Fuller United States
Minjie Sheng China
Wakako Murakami Japan
Alexander Yang United States
Heike Berthold Germany
Jia‐Ping Wu Taiwan
Nobuhisa Nakamura Japan
Bart Everaerdt Belgium
Sandra A. Rebuffat France
Nao Saito Japan
Daniel Bedinger relative to Susan P. Fuller United States Susan P. Fuller's profile →
Citations per field
00.5×4.6×
Susan P. Fuller · 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

18 of 18 papers shown
#Work
1 2013255
2 201560
3 201338
4 201738
5 201530
6 201824
7 202022
8 201421
9 201519
10 202316
11 20156
12 20251
13 20251
14 20231
15 20241
16 20221
17 20230
18 20250

About Daniel Bedinger

Daniel Bedinger is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery, Oncology and Physiology, having authored 18 papers that have together received 534 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Pancreatic function and diabetes (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Protein purification and stability (4 papers), CAR-T cell therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers), T-cell and B-cell Immunology (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Physiology (213 citations), Molecular Biology (355 citations), Radiology, Nuclear Medicine and Imaging (102 citations), Cell Biology (59 citations) and Endocrinology, Diabetes and Metabolism (51 citations). Daniel Bedinger has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Sean H. Adams, Dorothy A. Kieffer, Mohamed Ali, Denise E. Lackey, William H. Smith, Sandy M. Humphreys, Kristine C. Olson, Rouzbeh Mostaedi, Fredrik Karpe and Ahmed Bettaieb. Their work appears in journals such as mAbs, Journal of Immunological Methods, PLoS ONE, Journal of Pharmacology and Experimental Therapeutics and Journal of Cellular Biochemistry.

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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