Daniel L. Galvan

2.5k citations
32 papers · 2.0k indexed · 1 hit paper · h-index 20

Impact in

Papers in

Daniel L. Galvan

32 papers receiving 2.0k citations

Hit Papers

The hallmarks of mitochondrial dysfunction in chronic kidney disease 2017 · 341 citations
3412017202620202023100200300

Peers

Daniel L. Galvan
Comparison fields: 5 of 120
  • Nephrology 269
  • Clinical Biochemistry 237
  • Cancer Research 342
  • Molecular Biology 1.4k
  • Physiology 54
Replace Björn Friedrich with:
Björn Friedrich Germany
Alberto C. Vitari United Kingdom
Hyug Moo Kwon South Korea
Syamantak Majumder India
Paul T. Brinkkoetter Germany
Helge Boman Norway
Qiulun Lu China
Stephen S. Chung United States
W S Lee United States
Yuexin Shan Canada
Daniel L. Galvan relative to Björn Friedrich Germany Björn Friedrich's profile →
Citations per field
00.5×6.1×
Björn Friedrich · 1×
Citations per year

Countries citing papers authored by Daniel L. Galvan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Galvan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 20225
3 202117
4 202024
5 202017
6 201987
7 201970
8 201764
9
The hallmarks of mitochondrial dysfunction in chronic kidney disease
Hit paper breakdown →
2017341
10 201730
11 20143
12 201221
13 201214
14 201152
15 2009101
16 200962
17 200234
18 199975
19 199865
20 199821

About Daniel L. Galvan

Daniel L. Galvan is a scholar working on Architecture, Clinical Biochemistry, Aging, Molecular Biology and Energy Engineering and Power Technology, having authored 32 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (8 papers), CRISPR and Genetic Engineering (8 papers), Virus-based gene therapy research (6 papers), Metabolism and Genetic Disorders (6 papers), CAR-T cell therapy research (5 papers), RNA Interference and Gene Delivery (4 papers), Cancer-related molecular mechanisms research (3 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Nephrology (269 citations), Clinical Biochemistry (237 citations), Cancer Research (342 citations), Molecular Biology (1.4k citations) and Physiology (54 citations). Daniel L. Galvan has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Farhad R. Danesh, Benny Hung‐Junn Chang, Shawn S. Badal, Jianyin Long, Gregory A. Mignery, Yin Wang, Bernard Ayanga, Paul A. Overbeek, Matthew H. Wilson and Paul T. Schumacker. Their work appears in journals such as Journal of Biological Chemistry, Molecular Therapy, Journal of Clinical Investigation, Kidney International and Journal of Immunotherapy.

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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