Daniel D. Agranoff

4.5k citations
44 papers · 3.5k · 3 hit papers · h-index 25

Impact in

Papers in

    • COVID-19 Clinical Research Studies 13
    • SARS-CoV-2 and COVID-19 Research 6
    • Tuberculosis Research and Epidemiology 4
    • Long-Term Effects of COVID-19 2

Daniel D. Agranoff

43 papers receiving 3.4k citations

Daniel D. Agranoff's Hit Papers

Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease 2024 · 65 citations
650+1+3Years since publication200400600

Peers

Daniel D. Agranoff
Comparison fields: 5 of 128
  • Infectious Diseases 2.1k
  • Applied Microbiology and Biotechnology 96
  • Genetics 431
  • Neurology 203
  • Modeling and Simulation 48
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Paul Collini United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Daniel D. Agranoff

Since Specialization
Citations

This map shows the geographic impact of Daniel D. 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 D. 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 D. Agranoff more than expected).

Fields of papers citing papers by Daniel D. Agranoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SARS-CoV-2 Omicron-B.1.1.529 leads to widespread escape from neutralizing antibody responses
Hit paper breakdown →
2022746
2
Mapping the human genetic architecture of COVID-19
Hit paper breakdown →
2021656
3 2021256
4 2021172
5 2021161
6 2021138
7 2021121
8 1999119
9 199894
10 202287
11 202181
12 201770
13 202170
14 202168
15
Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease
Hit paper breakdown →
202465
16 201858
17 200456
18 202151
19 202143
20 200433

About Daniel D. Agranoff

Daniel D. Agranoff is a scholar working on Infectious Diseases, Neurology, Genetics, Epidemiology and Applied Microbiology and Biotechnology, having authored 44 papers that have together received 3.5k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (13 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Tuberculosis Research and Epidemiology (4 papers), Genetic Associations and Epidemiology (3 papers), Long-Term Effects of COVID-19 (2 papers), Medical Case Reports and Studies (2 papers), Trace Elements in Health (1 paper) and Acute Kidney Injury Research (1 paper). The work is most often cited by research in Infectious Diseases (2.1k citations), Applied Microbiology and Biotechnology (96 citations), Genetics (431 citations), Neurology (203 citations) and Modeling and Simulation (48 citations). Daniel D. Agranoff has collaborated with scholars based in United Kingdom, United States and Ghana. Frequent co-authors include Sanjeev Krishna, Philip D. Butcher, Irene M. Monahan, Joseph A. Mangan, Fred Schon, Delmiro Fernández-Reyes, David G. Kehres, Michael E. Maguire, Juho Rousu and John S. Shawe-Taylor. Their work appears in journals such as The Lancet Respiratory Medicine, The Lancet, Postgraduate Medical Journal, Open Forum Infectious Diseases and Transactions of the Royal Society of Tropical Medicine and Hygiene.

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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