Jane T. Babbitt

871 total citations
17 papers, 696 citations indexed

About

Jane T. Babbitt is a scholar working on Biomedical Engineering, Molecular Biology and Immunology. According to data from OpenAlex, Jane T. Babbitt has authored 17 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Jane T. Babbitt's work include Biosensors and Analytical Detection (5 papers), Immune Cell Function and Interaction (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Jane T. Babbitt is often cited by papers focused on Biosensors and Analytical Detection (5 papers), Immune Cell Function and Interaction (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Jane T. Babbitt collaborates with scholars based in United States, Brazil and Japan. Jane T. Babbitt's co-authors include David A. Haake, Bernard M. Churchill, Mitra Mastali, Elliot M. Landaw, Eda T. Bloom, Vincent Gau, Jeffrey Gornbein, Joseph C. Liao, Edward R.B. McCabe and Marc A. Suchard and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Jane T. Babbitt

17 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane T. Babbitt United States 14 261 249 145 102 82 17 696
Neima Briggs United States 10 114 0.4× 253 1.0× 130 0.9× 93 0.9× 40 0.5× 22 502
Shneh Sethi Germany 12 216 0.8× 290 1.2× 36 0.2× 70 0.7× 55 0.7× 19 640
Suhee Kim South Korea 17 139 0.5× 393 1.6× 43 0.3× 108 1.1× 46 0.6× 47 808
Michel Zuiderwijk Netherlands 8 386 1.5× 334 1.3× 94 0.6× 130 1.3× 10 0.1× 9 824
Nil Gural United States 8 200 0.8× 180 0.7× 27 0.2× 63 0.6× 59 0.7× 9 566
Rong‐Hwa Shyu Taiwan 12 316 1.2× 346 1.4× 28 0.2× 148 1.5× 67 0.8× 16 680
Smanla Tundup United States 16 108 0.4× 258 1.0× 79 0.5× 250 2.5× 220 2.7× 22 750
S Yoshida Japan 16 28 0.1× 254 1.0× 41 0.3× 155 1.5× 271 3.3× 32 881
Olajumoke Sule United Kingdom 9 35 0.1× 63 0.3× 20 0.1× 114 1.1× 29 0.4× 16 348
Kate McInnerney United States 12 200 0.8× 265 1.1× 7 0.0× 93 0.9× 63 0.8× 16 756

Countries citing papers authored by Jane T. Babbitt

Since Specialization
Citations

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

Fields of papers citing papers by Jane T. Babbitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane T. Babbitt

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

All Works

17 of 17 papers shown
1.
Coutinho, Mariana Loner, James Matsunaga, Alejandro de la Peña Moctezuma, et al.. (2014). Kinetics of Leptospira interrogans Infection in Hamsters after Intradermal and Subcutaneous Challenge. PLoS neglected tropical diseases. 8(11). e3307–e3307. 41 indexed citations
2.
González, R., Susana Campuzano, Bo Hu, et al.. (2012). Rapid Antimicrobial Susceptibility Testing by Sensitive Detection of Precursor rRNA Using a Novel Electrochemical Biosensing Platform. Antimicrobial Agents and Chemotherapy. 57(2). 936–943. 29 indexed citations
3.
Choy, Henry A., Melissa M. Kelley, Júlio Croda, et al.. (2011). The Multifunctional LigB Adhesin Binds Homeostatic Proteins with Potential Roles in Cutaneous Infection by Pathogenic Leptospira interrogans. PLoS ONE. 6(2). e16879–e16879. 54 indexed citations
4.
Coutinho, Mariana Loner, Henry A. Choy, Melissa M. Kelley, et al.. (2011). A LigA Three-Domain Region Protects Hamsters from Lethal Infection by Leptospira interrogans. PLoS neglected tropical diseases. 5(12). e1422–e1422. 62 indexed citations
5.
Mastali, Mitra, N Percy, Jeffrey Gornbein, et al.. (2008). Rapid Antimicrobial Susceptibility Determination of Uropathogens in Clinical Urine Specimens by Use of ATP Bioluminescence. Journal of Clinical Microbiology. 46(4). 1213–1219. 50 indexed citations
6.
Mastali, Mitra, Jane T. Babbitt, Yang Li, et al.. (2008). Optimal Probe Length and Target Location for Electrochemical Detection of Selected Uropathogens at Ambient Temperature. Journal of Clinical Microbiology. 46(8). 2707–2716. 13 indexed citations
7.
Liao, Joseph C., Mitra Mastali, Yang Li, et al.. (2007). Development of an Advanced Electrochemical DNA Biosensor for Bacterial Pathogen Detection. Journal of Molecular Diagnostics. 9(2). 158–168. 89 indexed citations
8.
Liao, Joseph C., Mitra Mastali, Vincent Gau, et al.. (2006). Use of Electrochemical DNA Biosensors for Rapid Molecular Identification of Uropathogens in Clinical Urine Specimens. Journal of Clinical Microbiology. 44(2). 561–570. 182 indexed citations
9.
Liao, Joseph C., Yaohua Zhang, Vincent Gau, et al.. (2004). Rapid, species-specific detection of uropathogen 16S rDNA and rRNA at ambient temperature by dot-blot hybridization and an electrochemical sensor array. Molecular Genetics and Metabolism. 84(1). 90–99. 38 indexed citations
10.
Babbitt, Jane T., et al.. (2000). Hematopoietic neoplasia in C57BL/6 mice exposed to split-dose ionizing radiation and circularly polarized 60 Hz magnetic fields. Carcinogenesis. 21(7). 1379–1389. 19 indexed citations
11.
Babbitt, Jane T., et al.. (2000). Hematopoietic neoplasia in C57BL/6 mice exposed to split-dose ionizing radiation and circularly polarized 60 Hz magnetic fields. Carcinogenesis. 21(7). 1379–1389. 18 indexed citations
12.
Babbitt, Jane T., et al.. (1999). Primary brain tumor incidence in mice exposed to split-dose ionizing radiation and circularly polarized 60 Hz magnetic fields. Cancer Letters. 147(1-2). 149–156. 7 indexed citations
13.
14.
Bloom, Eda T. & Jane T. Babbitt. (1987). Role of cytokines in the monocyte-mediated augmentation of human natural killer cell activity. Cellular Immunology. 109(1). 123–138. 8 indexed citations
15.
Bloom, Eda T. & Jane T. Babbitt. (1985). Concentration-dependent augmentation of anti-K562 activity following short-term culture of null cell-enriched human blood lymphocyte populations. Immunobiology. 169(5). 540–552. 2 indexed citations
16.
Bloom, Eda T. & Jane T. Babbitt. (1985). Monocyte-mediated augmentation of human natural cell-mediated cytotoxicity. Cellular Immunology. 91(1). 21–32. 30 indexed citations
17.
Bloom, Eda T. & Jane T. Babbitt. (1983). Rapid kinetics of lysis in human natural cell-mediated cytotoxicity: Some implications. Cellular Immunology. 79(1). 197–206. 17 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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