Paul D. Siebert

9.4k total citations · 3 hit papers
56 papers, 7.6k citations indexed

About

Paul D. Siebert is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Paul D. Siebert has authored 56 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 13 papers in Genetics and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Paul D. Siebert's work include Molecular Biology Techniques and Applications (14 papers), CRISPR and Genetic Engineering (12 papers) and Animal Genetics and Reproduction (10 papers). Paul D. Siebert is often cited by papers focused on Molecular Biology Techniques and Applications (14 papers), CRISPR and Genetic Engineering (12 papers) and Animal Genetics and Reproduction (10 papers). Paul D. Siebert collaborates with scholars based in United States, Germany and Russia. Paul D. Siebert's co-authors include Alex Chenchik, Sergey Lukyanov, Konstantin A. Lukyanov, Luda Diatchenko, Yun‐Fai Chris Lau, James W. Larrick, Betty Huang, Nadya G. Gurskaya, Е. Д. Свердлов and A. Patricia Campbell and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Paul D. Siebert

56 papers receiving 7.3k citations

Hit Papers

Suppression subtractive hybridization: a method for gener... 1995 2026 2005 2015 1996 1995 2001 500 1000 1.5k 2.0k 2.5k

Peers

Paul D. Siebert
Comparison fields: 5 of 156
  • Molecular Biology 4.6k
  • Plant Science 1.5k
  • Genetics 1.1k
  • Immunology 912
  • Cell Biology 726
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Citations per field, relative to Paul D. Siebert
Paul D. Siebert · 1×
Citations per year, relative to Paul D. Siebert
Paul D. Siebert · 1×

Countries citing papers authored by Paul D. Siebert

Since Specialization
Citations

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

Fields of papers citing papers by Paul D. Siebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul D. Siebert

This figure shows the co-authorship network connecting the top 25 collaborators of Paul D. Siebert. A scholar is included among the top collaborators of Paul D. Siebert 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 Paul D. Siebert. Paul D. Siebert 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
1 113
2 10
3 7
4 3
5 16
6 154
7 338
8 3
9
Gene cloning and analysis by RT-PCR
73
10 29
11 29
12 44
13 217
14 150
15
Reverse transcriptase PCR
27
16
An improved PCR method for walking in uncloned genomic DNA breakdown →
864
17 10
18
[Content of beta-carotene, vitamin E and ascorbic acid in blood plasma of female calves, cattle, bulls, castrates and ox throughout the course of the year].
3
19 2
20 108

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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