Keith E. Joho

510 total citations
10 papers, 382 citations indexed

About

Keith E. Joho is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Keith E. Joho has authored 10 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Ecology. Recurrent topics in Keith E. Joho's work include RNA and protein synthesis mechanisms (4 papers), DNA and Nucleic Acid Chemistry (3 papers) and RNA modifications and cancer (2 papers). Keith E. Joho is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), DNA and Nucleic Acid Chemistry (3 papers) and RNA modifications and cancer (2 papers). Keith E. Joho collaborates with scholars based in United States and Japan. Keith E. Joho's co-authors include Martyn K. Darby, Donald D. Brown, William T. McAllister, Curtis A. Raskin, M. Anderle, Sushmita Roy, Hua Lin, Christopher H. Becker, George A. Díaz and Nancy McGraw and has published in prestigious journals such as Cell, Nucleic Acids Research and Genes & Development.

In The Last Decade

Keith E. Joho

10 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keith E. Joho United States	8	339	106	81	59	18	10	382
R Belagaje United States	9	367 1.1×	79 0.7×	39 0.5×	31 0.5×	13 0.7×	13	415
Brian Moldover United States	9	272 0.8×	38 0.4×	93 1.1×	30 0.5×	12 0.7×	11	333
Carl J. Weitzmann United States	17	530 1.6×	139 1.3×	49 0.6×	49 0.8×	6 0.3×	21	577
Tariq Ganief South Africa	8	207 0.6×	117 1.1×	15 0.2×	48 0.8×	11 0.6×	13	334
G. M. Gongadze Russia	13	435 1.3×	142 1.3×	13 0.2×	49 0.8×	27 1.5×	29	480
Alex Burgum United States	10	291 0.9×	78 0.7×	14 0.2×	14 0.2×	35 1.9×	14	373
Jade Sales-Lee United States	7	333 1.0×	54 0.5×	12 0.1×	21 0.4×	22 1.2×	7	382
Tangirala Suryanarayana India	11	377 1.1×	162 1.5×	14 0.2×	76 1.3×	52 2.9×	18	440
Thomas C. Gluick United States	10	523 1.5×	97 0.9×	9 0.1×	84 1.4×	15 0.8×	12	567
Justine A. Malinski United States	10	308 0.9×	34 0.3×	11 0.1×	124 2.1×	36 2.0×	10	401

Countries citing papers authored by Keith E. Joho

Since Specialization

Citations

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

Fields of papers citing papers by Keith E. Joho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith E. Joho

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

All Works

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10 of 10 papers shown

1.

Anderle, M., Sushmita Roy, Hua Lin, Christopher H. Becker, & Keith E. Joho. (2004). Quantifying reproducibility for differential proteomics: noise analysis for protein liquid chromatography-mass spectrometry of human serum. Bioinformatics. 20(18). 3575–3582. 99 indexed citations

2.

Ihara, Kenji, et al.. (2001). Rapid detection of the 22q11.2 deletion with quantitative real-time PCR. Molecular and Cellular Probes. 15(2). 71–73. 37 indexed citations

3.

Joho, Keith E., et al.. (1994). Effect of Biolistic particle size on the efficiency of transfection of oocytes in Xenopus ovary tissue. Nucleic Acids Research. 22(15). 3265–3266. 1 indexed citations

4.

Darby, Martyn K., et al.. (1993). Correction of the nucleotide and amino acid sequence ofXenopus laevis42Sp50. Nucleic Acids Research. 21(9). 2259–2259. 1 indexed citations

5.

Joho, Keith E., et al.. (1992). A modified kanamycin-resistance cassette to facilitate two-codon insertion mutagenesis. Gene. 111(1). 143–144. 9 indexed citations

6.

Raskin, Curtis A., George A. Díaz, Keith E. Joho, & William T. McAllister. (1992). Substitution of a single bacteriophage T3 residue in bacteriophage T7 RNA polymerase at position 748 results in a switch in promoter specificity. Journal of Molecular Biology. 228(2). 506–515. 59 indexed citations

7.

Darby, Martyn K. & Keith E. Joho. (1992). Differential binding of zinc fingers from Xenopus TFIIIA and p43 to 5S RNA and the 5S RNA gene.. Molecular and Cellular Biology. 12(7). 3155–3164. 31 indexed citations

8.

Joho, Keith E., et al.. (1990). A finger protein structurally similar to TFIIIA that binds exclusively to 5S RNA in Xenopus. Cell. 61(2). 293–300. 92 indexed citations

9.

Joho, Keith E., et al.. (1990). Identification of a region of the bacteriophage T3 and T7 RNA polymerases that determines promoter specificity. Journal of Molecular Biology. 215(1). 31–39. 33 indexed citations

10.

Kim, Sang Hoon, Martyn K. Darby, Keith E. Joho, & Donald D. Brown. (1990). The characterization of the TFIIIA synthesized in somatic cells of Xenopus laevis.. Genes & Development. 4(9). 1602–1610. 20 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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