Daniel C. Berry

3.9k citations
36 papers · 3.0k indexed · 1 hit paper · h-index 24
Topics
Adipose Tissue and Metabolism (17 papers)Adipokines, Inflammation, and Metabolic Diseases (17 papers)Retinoids in leukemia and cellular processes (14 papers)
Partner nations
United StatesFranceChina

In The Last Decade

Daniel C. Berry

36 papers receiving 2.9k citations

Hit Papers

Opposing Effects of Retinoic Acid on Cell Growth Result f...20072026201320192007100200300400500

Peers

Daniel C. Berry
Comparison fields: 5 of 106
  • Molecular Biology 1.7k
  • Physiology 1.2k
  • Epidemiology 806
  • Biochemistry 523
  • Immunology 321
Replace Bounleut Phanavanh with:
Bounleut Phanavanh United States
Anna Hultgårdh‐Nilsson Sweden
Pascal Bernatchez Canada
Sophie Vaulont France
Ryosuke Kikuchi Japan
Yasushi Matsuki Japan
Tomomi Ueyama Japan
Diana Mechtcheriakova Austria
Philip L.S.M. Gordts United States
Hitesh Peshavariya Australia
Daniel C. Berry relative to Bounleut Phanavanh United States Bounleut Phanavanh's profile →
Citations per field
00.5×5.1×
Bounleut Phanavanh · 1×
Citations per year

Countries citing papers authored by Daniel C. Berry

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Berry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel C. Berry

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Berry. A scholar is included among the top collaborators of Daniel C. Berry based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel C. Berry. Daniel C. Berry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 2
3 3
4 3
5 17
6 15
7 3
8 12
9 28
10 52
11 45
12 146
13 80
14 153
15 47
16 150
17 149
18 46
19 283
20
Opposing Effects of Retinoic Acid on Cell Growth Result from Alternate Activation of Two Different Nuclear Receptorsbreakdown →
557

About Daniel C. Berry

Daniel C. Berry is a scholar working on Rehabilitation, Biochemistry and Physiology, having authored 36 papers that have together received 3.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (17 papers), Adipokines, Inflammation, and Metabolic Diseases (17 papers) and Retinoids in leukemia and cellular processes (14 papers). The work is most often cited by research in Biochemistry (523 citations), Physiology (1.2k citations) and Rehabilitation (176 citations). Daniel C. Berry has collaborated with scholars based in United States, France and China. Frequent co-authors include Noa Noy, Jonathan M. Graff, Yuwei Jiang, Thaddeus T. Schug, Natacha Shaw, Daniel Zeve, Drew Stenesen, Colleen M. Croniger, Hooman Soltanian and Benjamin Steiner. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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