Daniel E. Platt

4.1k total citations · 1 hit paper
66 papers, 1.9k citations indexed

About

Daniel E. Platt is a scholar working on Genetics, Molecular Biology and Archeology. According to data from OpenAlex, Daniel E. Platt has authored 66 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 21 papers in Molecular Biology and 9 papers in Archeology. Recurrent topics in Daniel E. Platt's work include Forensic and Genetic Research (16 papers), Genetic diversity and population structure (12 papers) and Forensic Anthropology and Bioarchaeology Studies (9 papers). Daniel E. Platt is often cited by papers focused on Forensic and Genetic Research (16 papers), Genetic diversity and population structure (12 papers) and Forensic Anthropology and Bioarchaeology Studies (9 papers). Daniel E. Platt collaborates with scholars based in United States, Lebanon and United Kingdom. Daniel E. Platt's co-authors include Laxmi Parida, Takahiko Koyama, B. D. Silverman, Fereydoon Family, Pierre Zalloua, Barry R. Masters, Isidore Rigoutsos, Chris Tyler‐Smith, Marc Haber and R. Spencer Wells and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Bioinformatics.

In The Last Decade

Daniel E. Platt

63 papers receiving 1.9k citations

Hit Papers

Variant analysis of SARS-CoV-2 genomes 2020 2026 2022 2024 2020 100 200 300

Peers

Daniel E. Platt
Comparison fields: 5 of 177
  • Molecular Biology 551
  • Genetics 515
  • Infectious Diseases 333
  • Computational Theory and Mathematics 182
  • Archeology 174
Replace Shai Carmi with:
Shai Carmi Israel
Santiago Schnell United States
Yōichirō Takahashi Japan
Ariel Fernández United States
Joseph H. Davis United States
Enrique Hernández–Lemus Mexico
Fergal Casey United States
Ingo Ruczinski United States
Andreas Hildebrandt Germany
Gábor Tusnády Hungary
Shai Carmi Israel View profile →
Citations per field, relative to Daniel E. Platt
Daniel E. Platt · 1×
Citations per year, relative to Daniel E. Platt
Daniel E. Platt · 1×

Countries citing papers authored by Daniel E. Platt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Platt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel E. Platt

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Platt. A scholar is included among the top collaborators of Daniel E. Platt 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 E. Platt. Daniel E. Platt 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
# Work Indexed citations
1 1
2 3
3 4
4 9
5 8
6 1
7
Variant analysis of SARS-CoV-2 genomes breakdown →
362
8 4
9 20
10 23
11 19
12 22
13 62
14 0
15 30
16 7
17 18
18 87
19 7
20 6

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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