Daniel Goldfarb

1.4k total citations
9 papers, 288 citations indexed

About

Daniel Goldfarb is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Daniel Goldfarb has authored 9 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Immunology and 2 papers in Infectious Diseases. Recurrent topics in Daniel Goldfarb's work include Influenza Virus Research Studies (3 papers), Respiratory viral infections research (2 papers) and Animal Disease Management and Epidemiology (2 papers). Daniel Goldfarb is often cited by papers focused on Influenza Virus Research Studies (3 papers), Respiratory viral infections research (2 papers) and Animal Disease Management and Epidemiology (2 papers). Daniel Goldfarb collaborates with scholars based in United States, United Kingdom and France. Daniel Goldfarb's co-authors include Pablo R. Murcia, Joanne Haney, Vanessa Herder, Agnieszka M. Szemiel, Meredith Stewart, Marc Baguelin, Kurt S. Pregitzer, Swetha Víjayakríshnan, Margaret Mullin and Mairi Clarke and has published in prestigious journals such as Journal of Virology, The Journal of Infectious Diseases and PLoS Pathogens.

In The Last Decade

Daniel Goldfarb

9 papers receiving 279 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Goldfarb United States 7 159 107 46 45 34 9 288
Lynette Oon Singapore 10 215 1.4× 129 1.2× 40 0.9× 79 1.8× 22 0.6× 16 408
Yaron Drori Israel 12 204 1.3× 115 1.1× 83 1.8× 93 2.1× 17 0.5× 21 353
M. Clark United Kingdom 9 192 1.2× 197 1.8× 31 0.7× 44 1.0× 38 1.1× 15 529
Ketaki Ganti United States 9 131 0.8× 71 0.7× 43 0.9× 49 1.1× 11 0.3× 13 210
Christopher R. E. Ward Canada 3 202 1.3× 97 0.9× 43 0.9× 35 0.8× 17 0.5× 4 278
Emmanuelle Genoyer United States 6 111 0.7× 89 0.8× 63 1.4× 51 1.1× 60 1.8× 8 293
José Esteban Muñoz‐Medina Mexico 11 107 0.7× 137 1.3× 23 0.5× 84 1.9× 26 0.8× 38 327
Arash Letafati Iran 10 90 0.6× 83 0.8× 50 1.1× 136 3.0× 15 0.4× 52 324
Tanushree Dangi United States 12 149 0.9× 251 2.3× 92 2.0× 84 1.9× 24 0.7× 25 424
Christopher E. Yi United States 7 67 0.4× 329 3.1× 50 1.1× 157 3.5× 21 0.6× 10 489

Countries citing papers authored by Daniel Goldfarb

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Goldfarb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Goldfarb

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Goldfarb. A scholar is included among the top collaborators of Daniel Goldfarb 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 Goldfarb. Daniel Goldfarb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Haney, Joanne, Swetha Víjayakríshnan, Daniel Goldfarb, et al.. (2022). Coinfection by influenza A virus and respiratory syncytial virus produces hybrid virus particles. Nature Microbiology. 7(11). 1879–1890. 50 indexed citations
2.
Goldfarb, Daniel, Joanne Haney, Vanessa Herder, et al.. (2021). Human Rhinovirus Infection Blocks Severe Acute Respiratory Syndrome Coronavirus 2 Replication Within the Respiratory Epithelium: Implications for COVID-19 Epidemiology. The Journal of Infectious Diseases. 224(1). 31–38. 119 indexed citations
4.
Goldfarb, Daniel, et al.. (2019). Intramolecular electrostatic interactions contribute to phospholipase Cβ3 autoinhibition. Cellular Signalling. 62. 109349–109349. 13 indexed citations
5.
Nogales, Aitor, Henan Zhu, Daniel Goldfarb, et al.. (2017). Mammalian Adaptation of an Avian Influenza A Virus Involves Stepwise Changes in NS1. Journal of Virology. 92(5). 33 indexed citations
6.
Goldfarb, Daniel, et al.. (2009). P70 Detection of plasmid mediated KPC-producing Klebsiella pneumo-niae in Ottawa, Canada: evidence of intra-hospital transmission. International Journal of Antimicrobial Agents. 34. S49–S49. 1 indexed citations
7.
Çataltepe, Sule, Charles Schick, Cliff J. Luke, et al.. (2000). Development of specific monoclonal antibodies and a sensitive discriminatory immunoassay for the circulating tumor markers SCCA1 and SCCA2. Clinica Chimica Acta. 295(1-2). 107–127. 39 indexed citations
8.
Goldfarb, Daniel, et al.. (1990). Seasonal nitrogen and carbon concentrations in white, brown and woody fine roots of sugar maple (Acer saccharum Marsh). Plant and Soil. 126(1). 144–148. 24 indexed citations
9.
Goldfarb, Daniel, et al.. (1957). The Detection of Typhoid Bacilli in Water using the Increase of Phage Titre Reaction.. Journal of microbiology epidemiology immunobiology. 28. 2 indexed citations

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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