Daniel H. Farkas

2.4k citations
56 papers · 1.1k indexed · h-index 18
Topics
Cancer Genomics and Diagnostics (10 papers)Molecular Biology Techniques and Applications (4 papers)Prenatal Screening and Diagnostics (4 papers)

In The Last Decade

Daniel H. Farkas

52 papers receiving 1.1k citations

Peers

Daniel H. Farkas
Comparison fields: 5 of 94
  • Molecular Biology 458
  • Pediatrics, Perinatology and Child Health 230
  • Pulmonary and Respiratory Medicine 187
  • Infectious Diseases 175
  • Genetics 172
Replace Núria Rodríguez with:
Núria Rodríguez Spain
Rainard Fuhr United Kingdom
A. V. Lichtenstein Russia
Mei‐Ying Liu Taiwan
Bor‐Ching Sheu Taiwan
R A Osborn Australia
Young Lo Hong Kong
Christoph Gassner Austria
Bernhard Zimmermann United States
Andreas Kage Germany
Daniel H. Farkas relative to Núria Rodríguez Spain Núria Rodríguez's profile →
Citations per field
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Núria Rodríguez · 1×
Citations per year

Countries citing papers authored by Daniel H. Farkas

Since Specialization
Citations

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

Fields of papers citing papers by Daniel H. Farkas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel H. Farkas

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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14 105
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Molecular biology and pathology : a guidebook for quality control
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20 6

About Daniel H. Farkas

Daniel H. Farkas is a scholar working on Cancer Research, Genetics and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Molecular Biology Techniques and Applications (4 papers) and Prenatal Screening and Diagnostics (4 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (230 citations), Cancer Research (166 citations) and Infectious Diseases (175 citations). Daniel H. Farkas has collaborated with scholars based in United States, Slovakia and United Kingdom. Frequent co-authors include Gary F. Blackburn, Robert M. Umek, Bruce Irvine, Changjun Yu, Jon Faiz Kayyem, Robert Terbrueggen, Handy Yowanto, Zheng Jin Tu, Ron McCullough and Eyad Almasri. Their work appears in journals such as Journal of Clinical Oncology, Analytical Biochemistry and Journal of Virology.

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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