Daniel Agranoff

12 papers receiving 400 citations

Peers

Daniel Agranoff
Comparison fields: 5 of 82
  • Nutrition and Dietetics 135
  • Infectious Diseases 145
  • Hematology 74
  • Endocrinology 19
  • Health, Toxicology and Mutagenesis 46
Replace Sian Stafford with:
Sian Stafford United Kingdom
Melania D’Orazio Italy
Daniel Sinsimer United States
Hsing‐Ju Tseng Australia
Emily M. Zygiel United States
Sylvain Tilleul France
Jessica L. Kelliher United States
Caitlin C. Murdoch United States
Lauren J. McAllister Australia
Vladimir E. Diaz-Ochoa United States
Daniel Agranoff relative to Sian Stafford United Kingdom Sian Stafford's profile →
Citations per field
00.5×1.5×2.4×
Sian Stafford · 1×
Citations per year

Countries citing papers authored by Daniel Agranoff

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Agranoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1999119
2 199893
3 200456
4 200434
5 202133
6 201231
7 201316
8 201810
9 20159
10
Human T-lymphotropic virus type II seroprevalence among emergency department and clinic patients.
19964
11 20131
12 19971

About Daniel Agranoff

Daniel Agranoff is a scholar working on Infectious Diseases, Nutrition and Dietetics, Epidemiology, Molecular Medicine and Molecular Biology, having authored 12 papers that have together received 407 indexed citations. Recurring topics across this work include Trace Elements in Health (3 papers), Antibiotic Resistance in Bacteria (2 papers), Tuberculosis Research and Epidemiology (2 papers), Gene expression and cancer classification (1 paper), Antifungal resistance and susceptibility (1 paper), Neurofibromatosis and Schwannoma Cases (1 paper), Fungal Infections and Studies (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Nutrition and Dietetics (135 citations), Infectious Diseases (145 citations), Hematology (74 citations), Endocrinology (19 citations) and Health, Toxicology and Mutagenesis (46 citations). Daniel Agranoff has collaborated with scholars based in United Kingdom, United States and Ghana. Frequent co-authors include Sanjeev Krishna, Irene M. Monahan, Philip D. Butcher, Joseph A. Mangan, Delmiro Fernández-Reyes, Michael E. Maguire, David G. Kehres, William L. Hamilton, Juho Rousu and Carlton A. Evans. Their work appears in journals such as PLoS Computational Biology, Transactions of the Royal Society of Tropical Medicine and Hygiene, Biochemical Journal, The Journal of Experimental Medicine and eLife.

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.

Explore authors with similar magnitude of impact