T A

1.3k total citations · 1 hit paper
6 papers, 1.1k citations indexed

About

T A is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, T A has authored 6 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Genetics. Recurrent topics in T A's work include Bacterial Genetics and Biotechnology (2 papers), Hepatitis B Virus Studies (2 papers) and Hepatitis C virus research (2 papers). T A is often cited by papers focused on Bacterial Genetics and Biotechnology (2 papers), Hepatitis B Virus Studies (2 papers) and Hepatitis C virus research (2 papers). T A collaborates with scholars based in United States, Spain and France. T A's co-authors include G M Duke, Ed Tom, Edward S. Mocarski, Richard R. Spaete, George Kemble, Bruce Alberts, Eileen L. Beall, George Kuo, Janice A. Kolberg and Bruce Irvine and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Virology.

In The Last Decade

T A

6 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human cytomegalovirus clinical isolates carry at least 19 genes not found in laboratory strains

1996 519 citations T A, Ed Tom et al. Journal of Virology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T A United States	6	788	313	254	196	160	6	1.1k
Tohru Gotanda Japan	10	634 0.8×	520 1.7×	144 0.6×	29 0.1×	43 0.3×	18	827
Zhipeng Yan China	21	562 0.7×	124 0.4×	305 1.2×	50 0.3×	84 0.5×	35	1.1k
Shawn Wasilenko Canada	14	379 0.5×	267 0.9×	179 0.7×	19 0.1×	190 1.2×	23	695
Mayra Cruz‐Rivera Mexico	14	184 0.2×	148 0.5×	100 0.4×	119 0.6×	26 0.2×	33	532
Linda M. Stannard South Africa	13	330 0.4×	95 0.3×	51 0.2×	33 0.2×	81 0.5×	26	450
John Lyle United States	8	233 0.3×	42 0.1×	223 0.9×	49 0.3×	61 0.4×	15	571
S. K. Vernon United States	14	398 0.5×	28 0.1×	153 0.6×	26 0.1×	193 1.2×	24	600
Samad Amini‐Bavil‐Olyaee Iran	23	1.1k 1.4×	940 3.0×	165 0.6×	15 0.1×	39 0.2×	52	1.4k
Robert M. McCombs United States	16	394 0.5×	33 0.1×	110 0.4×	31 0.2×	135 0.8×	24	573
Marie-Louise Michel France	8	287 0.4×	129 0.4×	245 1.0×	10 0.1×	90 0.6×	12	678

Countries citing papers authored by T A

Since Specialization

Citations

This map shows the geographic impact of T A'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 T A with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T A more than expected).

Fields of papers citing papers by T A

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T A

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Fajardo, Violeta, Isabel González, Irene Martín, et al.. (2007). Differentiation of European wild boar (Sus scrofa scrofa) and domestic swine (Sus scrofa domestica) meats by PCR analysis targeting the mitochondrial D-loop and the nuclear melanocortin receptor 1 (MC1R) genes. Meat Science. 78(3). 314–322. 71 indexed citations

2.

A, T, Ed Tom, George Kemble, et al.. (1996). Human cytomegalovirus clinical isolates carry at least 19 genes not found in laboratory strains. Journal of Virology. 70(1). 78–83. 519 indexed citations breakdown →

3.

A, T, Eileen L. Beall, Bruce Irvine, et al.. (1992). At least five related, but distinct, hepatitis C viral genotypes exist.. Proceedings of the National Academy of Sciences. 89(15). 7144–7148. 221 indexed citations

4.

A, T, Janice A. Kolberg, Bruce Irvine, et al.. (1991). Use of a signature nucleotide sequence of hepatitis C virus for detection of viral RNA in human serum and plasma. Journal of Clinical Microbiology. 29(11). 2528–2534. 109 indexed citations

5.

A, T & Bruce Alberts. (1989). The Bacteriophage T4 DNA Replication Fork. Journal of Biological Chemistry. 264(21). 12220–12225. 90 indexed citations

6.

A, T & Bruce Alberts. (1986). Studies of the DNA helicase-RNA primase unit from bacteriophage T4. A trinucleotide sequence on the DNA template starts RNA primer synthesis.. Journal of Biological Chemistry. 261(15). 7001–7010. 72 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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