Keith M. Callenberg

1.1k total citations · 1 hit paper
14 papers, 820 citations indexed

About

Keith M. Callenberg is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Keith M. Callenberg has authored 14 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Keith M. Callenberg's work include Lipid Membrane Structure and Behavior (5 papers), Cancer Genomics and Diagnostics (3 papers) and Force Microscopy Techniques and Applications (2 papers). Keith M. Callenberg is often cited by papers focused on Lipid Membrane Structure and Behavior (5 papers), Cancer Genomics and Diagnostics (3 papers) and Force Microscopy Techniques and Applications (2 papers). Keith M. Callenberg collaborates with scholars based in United States, Netherlands and Japan. Keith M. Callenberg's co-authors include Michael Grabe, Michelle Barbi de Moura, Marina N. Nikiforova, Yuri E. Nikiforov, Lucas Santana‐Santos, Abigail I. Wald, Robert L. Ferris, William E. Gooding, Linwah Yip and Sohini Mukherjee and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Keith M. Callenberg

14 papers receiving 809 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.

Analytical performance of the ThyroSeq v3 genomic classifier for cancer diagnosis in thyroid nodules

2018 262 citations Marina N. Nikiforova, Abigail I. Wald et al. Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keith M. Callenberg United States	11	332	233	213	131	98	14	820
Mai B. Margetts Australia	13	741 2.2×	250 1.1×	182 0.9×	70 0.5×	109 1.1×	19	1.1k
Irina D. Pokrovskaya United States	21	848 2.6×	66 0.3×	123 0.6×	138 1.1×	98 1.0×	52	1.5k
Masato Iida Japan	16	223 0.7×	53 0.2×	49 0.2×	129 1.0×	78 0.8×	68	774
Jan G. Dohlman United States	7	437 1.3×	60 0.3×	77 0.4×	49 0.4×	69 0.7×	9	673
Steven Ringquist United States	21	1.1k 3.3×	81 0.3×	137 0.6×	482 3.7×	74 0.8×	44	1.6k
Todd Mayhood United States	14	592 1.8×	35 0.2×	66 0.3×	47 0.4×	143 1.5×	19	931
Xiang Wu China	19	456 1.4×	19 0.1×	72 0.3×	76 0.6×	113 1.2×	46	886
Puthen V. Jithesh Qatar	20	631 1.9×	22 0.1×	94 0.4×	107 0.8×	82 0.8×	57	1.1k
Naiping Shen United States	5	784 2.4×	67 0.3×	45 0.2×	475 3.6×	66 0.7×	5	1.6k
Lyndon J. Mitnaul United States	16	581 1.8×	64 0.3×	156 0.7×	67 0.5×	251 2.6×	20	1.4k

Countries citing papers authored by Keith M. Callenberg

Since Specialization

Citations

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

Fields of papers citing papers by Keith M. Callenberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith M. Callenberg

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

All Works

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14 of 14 papers shown

Callenberg, Keith M., et al.. (2019). Performance of an artificial intelligence algorithm for reporting urine cytopathology. Cancer Cytopathology. 127(10). 658–666. 81 indexed citations

Wang, Meng, Keith M. Callenberg, Raymond Dalgleish, et al.. (2018). hgvs: A Python package for manipulating sequence variants using HGVS nomenclature: 2018 Update. Human Mutation. 39(12). 1803–1813. 16 indexed citations

Callenberg, Keith M., Lucas Santana‐Santos, Chen Liang, et al.. (2018). Clinical Implementation and Validation of Automated Human Genome Variation Society (HGVS) Nomenclature System for Next-Generation Sequencing–Based Assays for Cancer. Journal of Molecular Diagnostics. 20(5). 628–634. 9 indexed citations

Nikiforova, Marina N., Abigail I. Wald, Michelle Barbi de Moura, et al.. (2018). Analytical performance of the ThyroSeq v3 genomic classifier for cancer diagnosis in thyroid nodules. Cancer. 124(8). 1682–1690. 262 indexed citations breakdown →

Guerriero, Christopher J., Gregory M. Preston, Neville P. Bethel, et al.. (2017). Transmembrane helix hydrophobicity is an energetic barrier during the retrotranslocation of integral membrane ERAD substrates. Molecular Biology of the Cell. 28(15). 2076–2090. 24 indexed citations

Das, Ananya, Keith M. Callenberg, Mindi A. Styn, & Sara Jackson. (2016). Endoscopic ablation is a cost-effective cancer preventative therapy in patients with Barrett’s esophagus who have elevated genomic instability. SHILAP Revista de lepidopterología. 4(5). E549–E559. 11 indexed citations

Eluri, Swathi, William R. Brugge, Ebubekir Daglilar, et al.. (2015). The Presence of Genetic Mutations at Key Loci Predicts Progression to Esophageal Adenocarcinoma in Barrett’s Esophagus. The American Journal of Gastroenterology. 110(6). 828–834. 26 indexed citations

Kowalski, Thomas E., Ali A. Siddiqui, David E. Loren, et al.. (2015). Tu1680 MAnagement of Patients With Pancreatic Cysts Using Integrated Molecular Pathology. Gastrointestinal Endoscopy. 81(5). AB556–AB557. 1 indexed citations

Latorraca, Naomi R., Keith M. Callenberg, Jon P. Boyle, & Michael Grabe. (2014). Continuum Approaches to Understanding Ion and Peptide Interactions with the Membrane. The Journal of Membrane Biology. 247(5). 395–408. 10 indexed citations

10.

Mukherjee, Sohini, Hui Zheng, M.G. Derebe, et al.. (2013). Antibacterial membrane attack by a pore-forming intestinal C-type lectin. Nature. 505(7481). 103–107. 241 indexed citations

11.

Callenberg, Keith M.. (2013). MEMBRANE BENDING IS CRITICAL FOR ASSESSING THE THERMODYNAMIC STABILITY OF PROTEINS IN THE MEMBRANE. D-Scholarship@Pitt (University of Pittsburgh). 3 indexed citations

12.

Callenberg, Keith M., Naomi R. Latorraca, & Michael Grabe. (2012). Membrane bending is critical for the stability of voltage sensor segments in the membrane. The Journal of General Physiology. 140(1). 55–68. 26 indexed citations

13.

Callenberg, Keith M., et al.. (2010). APBSmem: A Graphical Interface for Electrostatic Calculations at the Membrane. PLoS ONE. 5(9). e12722–e12722. 87 indexed citations

14.

Couture, Oliver, Keith M. Callenberg, Zhi‐Liang Hu, et al.. (2009). ANEXdb: an integrated animal ANnotation and microarray EXpression database. Mammalian Genome. 20(11-12). 768–777. 23 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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