William Navidi

6.5k citations
88 papers · 4.9k · 1 hit paper · h-index 35

Impact in

Papers in

William Navidi

86 papers receiving 4.7k citations

William Navidi's Hit Papers

Whole genome amplification from a single cell: implications for genetic analysis. 1992 · 719 citations
7190+11+22Years since publication200400600

Peers

William Navidi
Comparison fields: 5 of 199
  • Health, Toxicology and Mutagenesis 988
  • Speech and Hearing 266
  • Computer Networks and Communications 719
  • Genetics 684
  • Pollution 269
Replace Jie Jie with:
Jie Jie China
Pascal Wild France
Lothar Sachs Germany
Qian Liu China
Xueying Wang China
Mary J. Lindstrom United States
Olivier Thas Belgium
Dongmei Chen China
Li‐Shan Huang United States
Ting Chen China
William Navidi relative to Jie Jie China Jie Jie's profile →
Citations per field
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Citations per year

Countries citing papers authored by William Navidi

Since Specialization
Citations

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

Fields of papers citing papers by William Navidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Whole genome amplification from a single cell: implications for genetic analysis.
Hit paper breakdown →
1992719
2
Statistics for Engineers and Scientists
2004433
3 1999387
4 2004387
5 1999304
6
A multiple-tubes approach for accurate genotyping of very small DNA samples by using PCR: statistical considerations.
1992186
7 1998170
8 1995127
9 2002119
10 2003117
11 2014106
12 199683
13 200878
14 199676
15 201473
16 199872
17 199670
18 200269
19 199165
20 199852

About William Navidi

William Navidi is a scholar working on Molecular Biology, Computer Networks and Communications, Health, Toxicology and Mutagenesis, Genetics and Statistics and Probability, having authored 88 papers that have together received 4.9k indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (11 papers), Opportunistic and Delay-Tolerant Networks (11 papers), Air Quality and Health Impacts (10 papers), Noise Effects and Management (7 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), Genetic diversity and population structure (4 papers), Glutathione Transferases and Polymorphisms (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (988 citations), Speech and Hearing (266 citations), Computer Networks and Communications (719 citations), Genetics (684 citations) and Pollution (269 citations). William Navidi has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Tracy Camp, Norman Arnheim, Lin Zhang, Xiufang Cui, R Hubert, Karin Schmitt, Stephanie J. London, Edward L. Avol, John Peters and Duncan C. Thomas. Their work appears in journals such as Statistical Science, Molecular Biology and Evolution, American Journal of Epidemiology, Environmental Health Perspectives and American Journal of Respiratory and Critical Care Medicine.

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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