D.E. Kellogg

2.8k total citations · 2 hit papers
8 papers, 2.1k citations indexed

About

D.E. Kellogg is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, D.E. Kellogg has authored 8 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Infectious Diseases. Recurrent topics in D.E. Kellogg's work include T-cell and Retrovirus Studies (3 papers), HIV Research and Treatment (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). D.E. Kellogg is often cited by papers focused on T-cell and Retrovirus Studies (3 papers), HIV Research and Treatment (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). D.E. Kellogg collaborates with scholars based in United States, France and Russia. D.E. Kellogg's co-authors include Sergey Lukyanov, Paul D. Siebert, Konstantin A. Lukyanov, Alex Chenchik, John J. Sninsky, Shirley Kwok, C. Levenson, Nancy McKinney, Dragana Spasić and Simon C.M. Kwok and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Analytical Biochemistry.

In The Last Decade

D.E. Kellogg

8 papers receiving 2.0k citations

Hit Papers

An improved PCR method for walking in uncloned genomic DNA 1990 2026 2002 2014 1995 1990 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.E. Kellogg United States 7 1.2k 501 388 245 187 8 2.1k
Rubén O. Zandomeni United States 22 1.2k 1.0× 217 0.4× 308 0.8× 182 0.7× 122 0.7× 50 1.9k
Wojciech Rychlik United States 20 1.8k 1.5× 472 0.9× 428 1.1× 133 0.5× 264 1.4× 32 2.6k
C. Weldon Jones United States 12 1.4k 1.2× 312 0.6× 513 1.3× 185 0.8× 160 0.9× 14 2.2k
G. H. Reed United States 5 1.3k 1.0× 374 0.7× 390 1.0× 86 0.4× 279 1.5× 9 2.3k
Robert J. Pryor United States 12 1.3k 1.0× 336 0.7× 401 1.0× 153 0.6× 271 1.4× 13 2.3k
Toni Wyler Switzerland 22 1.4k 1.2× 426 0.9× 523 1.3× 223 0.9× 226 1.2× 35 2.6k
Richard D. Abramson United States 14 2.4k 2.0× 310 0.6× 448 1.2× 183 0.7× 357 1.9× 18 3.4k
Martin Blythe United Kingdom 25 1.4k 1.1× 334 0.7× 275 0.7× 303 1.2× 116 0.6× 42 1.9k
James W. Gautsch United States 15 1.4k 1.1× 232 0.5× 768 2.0× 433 1.8× 143 0.8× 23 2.5k
Mikhail Fursov Russia 4 1.0k 0.8× 496 1.0× 315 0.8× 128 0.5× 425 2.3× 5 2.1k

Countries citing papers authored by D.E. Kellogg

Since Specialization
Citations

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

Fields of papers citing papers by D.E. Kellogg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D.E. Kellogg

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

All Works

8 of 8 papers shown
1.
Siebert, Paul D., Alex Chenchik, D.E. Kellogg, Konstantin A. Lukyanov, & Sergey Lukyanov. (1995). An improved PCR method for walking in uncloned genomic DNA. Nucleic Acids Research. 23(6). 1087–1088. 864 indexed citations breakdown →
2.
Schild, David, et al.. (1991). Sequence of RAD54, a Saccharomyces cerevisiae gene involved in recombination and repair. Gene. 104(1). 103–106. 87 indexed citations
3.
Kellogg, D.E., John J. Sninsky, & Shirley Kwok. (1990). Quantitation of HIV-1 proviral DNA relative to cellular DNA by the polymerase chain reaction. Analytical Biochemistry. 189(2). 202–208. 101 indexed citations
4.
Kwok, Shirley, D.E. Kellogg, Nancy McKinney, et al.. (1990). Effects of primer-template mismatches on the polymerase chain reaction: Human immunodeficiency virus type 1 model studies. Nucleic Acids Research. 18(4). 999–1005. 823 indexed citations breakdown →
5.
Kwok, Simon C.M., James J. Lipka, Nancy McKinney, et al.. (1990). Low incidence of HTLV infections in random blood donors with indeterminate Western blot patterns. Transfusion. 30(6). 491–494. 43 indexed citations
6.
Kwok, Simon C.M., D.E. Kellogg, Garth D. Ehrlich, et al.. (1988). Characterization of a Sequence of Human T Cell Leukemia Virus Type I from a Patient with Chronic Progressive Myelopathy. The Journal of Infectious Diseases. 158(6). 1193–1197. 118 indexed citations
7.
Sheldon, Edward L., D.E. Kellogg, C. Levenson, et al.. (1987). Nonisotopic M13 probes for detecting the beta-globin gene: application to diagnosis of sickle cell anemia.. Clinical Chemistry. 33(8). 1368–1371. 4 indexed citations
8.
Sheldon, Edward L., et al.. (1986). Use of nonisotopic M13 probes for genetic analysis: application to HLA class II loci.. Proceedings of the National Academy of Sciences. 83(23). 9085–9089. 40 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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