J. Kellogg

594 total citations
9 papers, 293 citations indexed

About

J. Kellogg is a scholar working on Molecular Biology, Genetics and Biotechnology. According to data from OpenAlex, J. Kellogg has authored 9 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Biotechnology. Recurrent topics in J. Kellogg's work include Plant tissue culture and regeneration (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and CRISPR and Genetic Engineering (2 papers). J. Kellogg is often cited by papers focused on Plant tissue culture and regeneration (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and CRISPR and Genetic Engineering (2 papers). J. Kellogg collaborates with scholars based in United States. J. Kellogg's co-authors include Richard K. Bestwick, Wendy Wagoner, Helena Mathews, M. Litt, Wendy Matsumura, R.E. Magenis, Henrik Vissing, Bruce L. Geller, Lucas D. Tilley and Dwight D. Weller and has published in prestigious journals such as Nucleic Acids Research, Antimicrobial Agents and Chemotherapy and Plant Molecular Biology.

In The Last Decade

J. Kellogg

9 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Kellogg United States	6	209	125	52	35	35	9	293
Ildikó Szeverényi Singapore	10	242 1.2×	177 1.4×	15 0.3×	11 0.3×	92 2.6×	13	362
Shogo Ebisu Japan	10	306 1.5×	19 0.2×	61 1.2×	45 1.3×	70 2.0×	13	385
Aayushi Jain India	6	215 1.0×	26 0.2×	20 0.4×	31 0.9×	41 1.2×	9	299
Mary Eberle United States	6	330 1.6×	178 1.4×	110 2.1×	47 1.3×	30 0.9×	7	480
Xinyuan Zhu China	10	281 1.3×	25 0.2×	26 0.5×	34 1.0×	134 3.8×	16	409
Linnea L. Brody United States	6	340 1.6×	33 0.3×	7 0.1×	41 1.2×	102 2.9×	6	408
Anna Golovko Sweden	8	286 1.4×	150 1.2×	12 0.2×	40 1.1×	42 1.2×	12	431
V. Larionov United States	14	565 2.7×	156 1.2×	23 0.4×	21 0.6×	129 3.7×	17	602
Hilde Heller Germany	10	433 2.1×	124 1.0×	14 0.3×	81 2.3×	208 5.9×	10	547
Taiyuan Li China	12	190 0.9×	32 0.3×	15 0.3×	46 1.3×	26 0.7×	31	283

Countries citing papers authored by J. Kellogg

Since Specialization

Citations

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

Fields of papers citing papers by J. Kellogg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Kellogg

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

All Works

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9 of 9 papers shown

1.

Tilley, Lucas D., et al.. (2006). Gene-Specific Effects of Antisense Phosphorodiamidate Morpholino Oligomer-Peptide Conjugates onEscherichia coliandSalmonella entericaSerovar Typhimurium in Pure Culture and inTissue Culture. Antimicrobial Agents and Chemotherapy. 50(8). 2789–2796. 56 indexed citations

2.

Mathews, Helena, Wendy Wagoner, C. M. S. Cohen, J. Kellogg, & Richard K. Bestwick. (1995). Efficient genetic transformation of red raspberry, Rubus ideaus L.. Plant Cell Reports. 14(8). 471–6. 31 indexed citations

3.

Mathews, Helena, Wendy Wagoner, J. Kellogg, & Richard K. Bestwick. (1995). Genetic transformation of strawberry: Stable integration of a gene to control biosynthesis of ethylene. In Vitro Cellular & Developmental Biology - Plant. 31(1). 36–43. 43 indexed citations

4.

Mathews, Helena, C. M. S. Cohen, Wendy Wagoner, et al.. (1994). 180 GENETIC TRANSFORMATION OF RED RASPBERRY (RUBUS IDAEUS L.) WITH A GENE TO CONTROL ETHYLENE BIOSYNTHESIS. HortScience. 29(5). 454f–454. 2 indexed citations

5.

Kellogg, J., et al.. (1994). Reduced ethylene synthesis by transgenic tomatoes expressing S-adenosylmethionine hydrolase. Plant Molecular Biology. 26(3). 781–790. 73 indexed citations

6.

Wagoner, Wendy, J. Kellogg, Richard K. Bestwick, & James A. Stamp. (1992). SUPERIOR REGENERATION AND AGROBACTERIUM INFECTABILITY OF BROCCOLI AND CAULIFLOWER TISSUES AND THE IDENTIFICATION OF A PROCEDURE FOR THE GENERATION OF TRANSGENIC PLANTS.. HortScience. 27(6). 620f–621. 2 indexed citations

7.

Kellogg, J., et al.. (1988). Phage 8–10 identifies an RFLP on 11q23-qter [HGM9 no. D11S286]. Nucleic Acids Research. 16(14). 7210–7210. 2 indexed citations

8.

Maslen, Cheryl L., Thomas Gläser, R. Ellen Magenis, et al.. (1988). Seven polymorphic loci mapping to human chromosomal region 11q22-qter. Genomics. 2(1). 66–75. 27 indexed citations

9.

Vissing, Henrik, et al.. (1987). A hypervariable RFLP on chromosome 17pl3 is defined by an arbitrary single copy probe pl44-D6 [HGM9 No. D17S34]. Nucleic Acids Research. 15(24). 10605–10605. 57 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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