Jennifer M. Gardner

7.3k total citations
85 papers, 2.6k citations indexed

About

Jennifer M. Gardner is a scholar working on Molecular Biology, Food Science and Dermatology. According to data from OpenAlex, Jennifer M. Gardner has authored 85 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 15 papers in Food Science and 11 papers in Dermatology. Recurrent topics in Jennifer M. Gardner's work include Fermentation and Sensory Analysis (14 papers), Fungal and yeast genetics research (14 papers) and Nuclear Structure and Function (12 papers). Jennifer M. Gardner is often cited by papers focused on Fermentation and Sensory Analysis (14 papers), Fungal and yeast genetics research (14 papers) and Nuclear Structure and Function (12 papers). Jennifer M. Gardner collaborates with scholars based in United States, Australia and United Kingdom. Jennifer M. Gardner's co-authors include Sue L. Jaspersen, Vladimir Jiranek, A. Bowcock, Cynthia Helms, Ying Liu, Anne Barton, Pui–Yan Kwok, Joanna F. Sundstrom, Andrew G. Miner and Nancy L. Saccone and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Jennifer M. Gardner

81 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer M. Gardner United States 24 1.3k 492 317 288 260 85 2.6k
Siddhartha Mukherjee United States 27 2.3k 1.8× 720 1.5× 70 0.2× 851 3.0× 203 0.8× 69 4.6k
Carolyn Lee United States 26 1.9k 1.5× 1.1k 2.2× 390 1.2× 743 2.6× 97 0.4× 59 3.5k
Margaret A. Miller United States 37 797 0.6× 405 0.8× 85 0.3× 514 1.8× 109 0.4× 197 4.6k
Jenny Wang United States 26 1.4k 1.1× 348 0.7× 206 0.6× 326 1.1× 76 0.3× 107 2.9k
Xiaodong Zheng China 24 349 0.3× 356 0.7× 252 0.8× 82 0.3× 168 0.6× 110 1.7k
David Gould United Kingdom 23 494 0.4× 166 0.3× 353 1.1× 160 0.6× 104 0.4× 86 2.1k
Malcolm Moos United States 25 2.5k 2.0× 202 0.4× 60 0.2× 216 0.8× 270 1.0× 65 4.0k
Nicholas C. Wong Australia 30 2.0k 1.6× 264 0.5× 85 0.3× 300 1.0× 88 0.3× 72 3.0k
Yu‐Fen Lin United States 30 1.3k 1.0× 182 0.4× 97 0.3× 568 2.0× 177 0.7× 105 2.7k
Min‐Geol Lee South Korea 26 706 0.6× 768 1.6× 647 2.0× 480 1.7× 94 0.4× 157 2.6k

Countries citing papers authored by Jennifer M. Gardner

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer M. Gardner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer M. Gardner

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

All Works

20 of 20 papers shown
1.
2.
Xu, Xinjie, et al.. (2023). P589: Improved efficiency of G-band chromosome analysis via deep neural network workflow. SHILAP Revista de lepidopterología. 1(1). 100636–100636. 1 indexed citations
3.
Tsuchiya, Dai, Fengli Guo, Jennifer M. Gardner, et al.. (2023). A molecular cell biology toolkit for the study of meiosis in the silkworm Bombyx mori. G3 Genes Genomes Genetics. 13(5). 2 indexed citations
4.
Park, Song Y., et al.. (2022). Tumoral melanosis mimicking residual melanoma in the setting of talimogene laherparepvec treatment. Journal for ImmunoTherapy of Cancer. 10(10). e005257–e005257. 4 indexed citations
5.
Gardner, Jennifer M., et al.. (2022). Modern yeast development: finding the balance between tradition and innovation in contemporary winemaking. FEMS Yeast Research. 23. 9 indexed citations
6.
7.
Gardner, Jennifer M., Michelle E. Walker, Paul K. Boss, & Vladimir Jiranek. (2021). The effect of grape juice dilution and complex nutrient addition on oenological fermentation and wine chemical composition. Journal of Food Composition and Analysis. 105. 104241–104241. 4 indexed citations
8.
Walker, Michelle E., et al.. (2021). Exploring the diversity of bacteriophage specific to Oenococcus oeni and Lactobacillus spp and their role in wine production. Applied Microbiology and Biotechnology. 105(23). 8575–8592. 7 indexed citations
9.
Varberg, Joseph M., et al.. (2020). High-Throughput Identification of Nuclear Envelope Protein Interactions in Schizosaccharomyces pombe Using an Arrayed Membrane Yeast-Two Hybrid Library. G3 Genes Genomes Genetics. 10(12). 4649–4663. 10 indexed citations
10.
Hughes, Matthew T., et al.. (2019). Space Fence Radar Overview. 1–2. 2 indexed citations
11.
Smoyer, Christine J., Sarah E. Smith, Jennifer M. Gardner, et al.. (2019). Distribution of Proteins at the Inner Nuclear Membrane Is Regulated by the Asi1 E3 Ligase in Saccharomyces cerevisiae. Genetics. 211(4). 1269–1282. 23 indexed citations
12.
Harnett, E. M., et al.. (2019). An Integrated Approach for Delivering Current Astrobiology Research to the General Public. Astrobiology. 19(5). 696–708. 1 indexed citations
13.
Long, Thomas, Michi M. Shinohara, Zsolt B. Argényi, John A. Thompson, & Jennifer M. Gardner. (2018). Panniculitis in a patient with pathologic complete response to talimogene laherparepvec treatment for recurrent, in‐transit melanoma. Journal of Cutaneous Pathology. 45(11). 864–868. 5 indexed citations
14.
Walker, Michelle E., et al.. (2018). Brief temperature extremes during wine fermentation: effect on yeast viability and fermentation progress. Australian Journal of Grape and Wine Research. 25(1). 62–69. 9 indexed citations
15.
Walker, Michelle E., et al.. (2017). Appropriate vacuolar acidification in Saccharomyces cerevisiae is associated with efficient high sugar fermentation. Food Microbiology. 70. 262–268. 4 indexed citations
16.
Gardner, Jennifer M., et al.. (2017). Quantifying the dominant growth mechanisms of dimorphic yeast using a lattice-based model. Journal of The Royal Society Interface. 14(134). 20170314–20170314. 14 indexed citations
17.
Sundstrom, Joanna F., et al.. (2016). Insecten als wijnmakers. Data Archiving and Networked Services (DANS). 76(4). 122–125. 1 indexed citations
18.
Gardner, Jennifer M., et al.. (1997). Trends in Hours of Work since the Mid-1970s. Monthly labor review. 120(4). 3. 75 indexed citations
19.
Gardner, Jennifer M.. (1995). Worker Displacement: A Decade of Change.. Monthly labor review. 118(4). 45–57. 49 indexed citations
20.
Gardner, Jennifer M.. (1993). Recession swells count of displaced workers. Monthly labor review. 116(6). 14–23. 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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