Joel A. Klappenbach

8.8k total citations · 4 hit papers
17 papers, 6.5k citations indexed

About

Joel A. Klappenbach is a scholar working on Molecular Biology, Ecology and Epidemiology. According to data from OpenAlex, Joel A. Klappenbach has authored 17 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Ecology and 3 papers in Epidemiology. Recurrent topics in Joel A. Klappenbach's work include Microbial Community Ecology and Physiology (6 papers), Genomics and Phylogenetic Studies (6 papers) and Hair Growth and Disorders (2 papers). Joel A. Klappenbach is often cited by papers focused on Microbial Community Ecology and Physiology (6 papers), Genomics and Phylogenetic Studies (6 papers) and Hair Growth and Disorders (2 papers). Joel A. Klappenbach collaborates with scholars based in United States, France and Puerto Rico. Joel A. Klappenbach's co-authors include James M. Tiedje, Konstantinos T. Konstantinidis, Peter Vandamme, Johan Goris, Tom Coenye, John Dunbar, Thomas M. Schmidt, Terrill K. McClanahan, Lixia Li and Svetlana Sadekova and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and PLoS ONE.

In The Last Decade

Joel A. Klappenbach

17 papers receiving 6.4k citations

Hit Papers

align trajectories sort by overperformance

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.

DNA–DNA hybridization values and their relationship to whole-genome sequence similarities

2007 3.6k citations Johan Goris, Konstantinos T. Konstantinidis et al. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY profile →
rrndb: the Ribosomal RNA Operon Copy Number Database

2001 864 citations Joel A. Klappenbach Nucleic Acids Research profile →
rRNA Operon Copy Number Reflects Ecological Strategies of Bacteria

2000 854 citations Joel A. Klappenbach, John Dunbar et al. Applied and Environmental Microbiology profile →
Multiplexed quantification of proteins and transcripts in single cells

2017 600 citations Vanessa M. Peterson, Namit Kumar et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joel A. Klappenbach United States	14	4.3k	2.6k	1.1k	518	517	17	6.5k
Cathrin Spröer Germany	43	5.1k 1.2×	3.1k 1.2×	1.9k 1.8×	394 0.8×	450 0.9×	341	8.5k
Yong‐Joon Cho South Korea	23	4.4k 1.0×	2.6k 1.0×	1.3k 1.3×	441 0.9×	546 1.1×	99	6.3k
Daniel R. Mende Germany	30	5.5k 1.3×	2.9k 1.1×	1.4k 1.4×	307 0.6×	780 1.5×	49	8.6k
Luis M. Rodriguez‐R United States	32	4.6k 1.1×	3.7k 1.4×	1.3k 1.3×	305 0.6×	705 1.4×	77	8.0k
Dörte Becher Germany	60	6.8k 1.6×	2.9k 1.1×	1.0k 1.0×	659 1.3×	550 1.1×	294	11.7k
Bas E. Dutilh Netherlands	45	4.5k 1.1×	4.0k 1.5×	1.2k 1.1×	541 1.0×	494 1.0×	145	8.6k
Karin Lagesen Norway	16	4.0k 0.9×	2.0k 0.8×	1.2k 1.2×	426 0.8×	649 1.3×	37	6.0k
David R. Arahal Spain	30	4.0k 0.9×	2.8k 1.1×	880 0.8×	542 1.0×	497 1.0×	116	5.3k
Johan Goris Belgium	33	4.3k 1.0×	2.5k 1.0×	2.0k 1.9×	403 0.8×	844 1.6×	48	7.5k
Chao Xie Singapore	15	5.4k 1.3×	3.1k 1.2×	2.1k 2.0×	449 0.9×	579 1.1×	18	10.3k

Countries citing papers authored by Joel A. Klappenbach

Since Specialization

Citations

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

Fields of papers citing papers by Joel A. Klappenbach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joel A. Klappenbach

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

All Works

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17 of 17 papers shown

Rizvi, Noreen F., John P. Santa Maria, Ali Nahvi, et al.. (2019). Targeting RNA with Small Molecules: Identification of Selective, RNA-Binding Small Molecules Occupying Drug-Like Chemical Space. SLAS DISCOVERY. 25(4). 384–396. 69 indexed citations

Rothman, Sarah M., Keith Q. Tanis, Pallavi Gandhi, et al.. (2018). Human Alzheimer’s disease gene expression signatures and immune profile in APP mouse models: a discrete transcriptomic view of Aβ plaque pathology. Journal of Neuroinflammation. 15(1). 256–256. 30 indexed citations

Peterson, Vanessa M., Namit Kumar, Jerelyn Wong, et al.. (2017). Multiplexed quantification of proteins and transcripts in single cells. Nature Biotechnology. 35(10). 936–939. 600 indexed citations breakdown →

Bai, Jianwu, Steven L. Smock, George R. Jackson, et al.. (2015). Phenotypic Responses of Differentiated Asthmatic Human Airway Epithelial Cultures to Rhinovirus. PLoS ONE. 10(2). e0118286–e0118286. 50 indexed citations

Qiu, Ping, Bo Wei, Frederick Lahser, et al.. (2015). HCV Genotyping from NGS Short Reads and Its Application in Genotype Detection from HCV Mixed Infected Plasma. PLoS ONE. 10(4). e0122082–e0122082. 14 indexed citations

Eckman, Joseph, Hyun‐Hee Lee, M Salmon, et al.. (2014). Anti-inflammatory actions of Chemoattractant Receptor-homologous molecule expressed on Th2 by the antagonist MK-7246 in a novel rat model of Alternaria alternata elicited pulmonary inflammation. European Journal of Pharmacology. 743. 106–116. 10 indexed citations

Fernandez, Xiomara, Garfield G. Mingo, Yanlin Jia, et al.. (2013). Mineralocorticoid receptor antagonists attenuate pulmonary inflammation and bleomycin-evoked fibrosis in rodent models. European Journal of Pharmacology. 718(1-3). 290–298. 32 indexed citations

Caro‐Quintero, Alejandro, Jie Deng, Jennifer M. Auchtung, et al.. (2010). Unprecedented levels of horizontal gene transfer among spatially co-occurring Shewanella bacteria from the Baltic Sea. The ISME Journal. 5(1). 131–140. 51 indexed citations

Ayala-del-Rı́o, Héctor L., Patrick Chain, Joseph J. Grzymski, et al.. (2010). The Genome Sequence ofPsychrobacter arcticus273-4, a Psychroactive Siberian Permafrost Bacterium, Reveals Mechanisms for Adaptation to Low-Temperature Growth. Applied and Environmental Microbiology. 76(7). 2304–2312. 140 indexed citations

10.

Blackman, Samuel C., Alexei A. Podtelezhnikov, Radha Railkar, et al.. (2010). Abstract 26: Notch pathway inhibition with MK-0752 leads to dose- and time-dependent transcriptional alterations in proliferation, PI3K, and Wnt pathway genes in plucked human hair follicles. Cancer Research. 70(8_Supplement). 26–26. 5 indexed citations

11.

Blackman, Samuel C., Joel A. Klappenbach, Radha Railkar, et al.. (2009). Abstract B41: Identification of a time- and dose-responsive transcriptional signature of Notch pathway inhibition in plucked human hair follicles following exposure to the gamma-secretase inhibitor MK-0752. Molecular Cancer Therapeutics. 8(12_Supplement). B41–B41. 3 indexed citations

12.

Goris, Johan, Konstantinos T. Konstantinidis, Joel A. Klappenbach, et al.. (2007). DNA–DNA hybridization values and their relationship to whole-genome sequence similarities. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 57(1). 81–91. 3641 indexed citations breakdown →

13.

Stedtfeld, Robert D., Lukas M. Wick, Dieter M. Tourlousse, et al.. (2006). Influence of Dangling Ends and Surface-Proximal Tails of Targets on Probe-Target Duplex Formation in 16S rRNA Gene-Based Diagnostic Arrays. Applied and Environmental Microbiology. 73(2). 380–389. 20 indexed citations

14.

Murray, Alison E., et al.. (2006). Respiratory Nitrate Ammonification byShewanella oneidensisMR-1. Journal of Bacteriology. 189(2). 656–662. 96 indexed citations

15.

Klappenbach, Joel A. & Beverly K. Pierson. (2004). Phylogenetic and physiological characterization of a filamentous anoxygenic photoautotrophic bacterium ?Candidatus Chlorothrix halophila? gen. nov., sp. nov., recovered from hypersaline microbial mats. Archives of Microbiology. 181(1). 17–25. 50 indexed citations

16.

Klappenbach, Joel A.. (2001). rrndb: the Ribosomal RNA Operon Copy Number Database. Nucleic Acids Research. 29(1). 181–184. 864 indexed citations breakdown →

17.

Klappenbach, Joel A., John Dunbar, & Thomas M. Schmidt. (2000). rRNA Operon Copy Number Reflects Ecological Strategies of Bacteria. Applied and Environmental Microbiology. 66(4). 1328–1333. 854 indexed citations breakdown →

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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