Daniel Holder

69 papers receiving 4.2k citations

Hit Papers

Kidney injury molecule-1 outperforms traditional biomarkers of kidney injury in preclinical biomarker qualification studies 2010 · 520 citations
520199720262006201650010001.5k

Peers

Daniel Holder
Comparison fields: 5 of 151
  • Virology 1.5k
  • Infectious Diseases 1.6k
  • Nephrology 398
  • Emergency Medicine 212
  • Statistics and Probability 170
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David Barnett United Kingdom
David Nolan Australia
Ignacio Conget Spain
Julie A. Stone United States
Cyril Mamotte Australia
Judy K. Shigenaga United States
William Lewis United States
Jeffrey S. Warren United States
Lorraine C. Racusen United States
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Citations per year

Countries citing papers authored by Daniel Holder

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Holder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Treatment with Indinavir, Zidovudine, and Lamivudine in Adults with Human Immunodeficiency Virus Infection and Prior Antiretroviral Therapy
Hit paper breakdown →
19971531
2
Kidney injury molecule-1 outperforms traditional biomarkers of kidney injury in preclinical biomarker qualification studies
Hit paper breakdown →
2010520
3 2002210
4 1998207
5 2002158
6 2010147
7 200496
8 200084
9 200774
10 200569
11 201562
12 199161
13 199660
14 200959
15 200458
16 201957
17 200155
18 199852
19 199652
20 201351

About Daniel Holder

Daniel Holder is a scholar working on Statistics and Probability, Virology, Space and Planetary Science, Nephrology and Small Animals, having authored 74 papers that have together received 4.4k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (10 papers), HIV Research and Treatment (6 papers), Alzheimer's disease research and treatments (5 papers), HIV/AIDS drug development and treatment (5 papers), Molecular Biology Techniques and Applications (5 papers), HIV/AIDS Research and Interventions (4 papers), Acute Kidney Injury Research (4 papers) and Chronic Kidney Disease and Diabetes (4 papers). The work is most often cited by research in Virology (1.5k citations), Infectious Diseases (1.6k citations), Nephrology (398 citations), Emergency Medicine (212 citations) and Statistics and Probability (170 citations). Daniel Holder has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jon H. Condra, Anne R. Meibohm, Emilio A. Emini, William A. Schleif, Deborah K. McMahon, Leslie Jonas, Jeffrey Chodakewitz, John W. Mellors, Joseph J. Eron and Diane V. Havlir. Their work appears in journals such as Toxicological Sciences, Journal of Alzheimer s Disease, Endocrinology, Circulation and The Journal of Infectious Diseases.

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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