Judith Gallant

511 total citations
9 papers, 335 citations indexed

About

Judith Gallant is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Judith Gallant has authored 9 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Judith Gallant's work include CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). Judith Gallant is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). Judith Gallant collaborates with scholars based in United States, Denmark and Germany. Judith Gallant's co-authors include Jaime A. Rivera‐Pérez, Yeonsoo Yoon, Aamir Mir, Erik J. Sontheimer, Raed Ibraheim, Alireza Edraki, Wen Xue, Ildar Gainetdinov, Chun‐Qing Song and Yueying Cao and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and Molecular Cell.

In The Last Decade

Judith Gallant

9 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Judith Gallant United States	8	307	122	29	23	23	9	335
Yeonsoo Yoon United States	7	367 1.2×	123 1.0×	38 1.3×	26 1.1×	29 1.3×	9	396
Angus Yiu-Fai Lee United States	6	387 1.3×	158 1.3×	31 1.1×	29 1.3×	21 0.9×	7	484
Krisztina Huszár Hungary	9	374 1.2×	108 0.9×	49 1.7×	40 1.7×	53 2.3×	14	426
Tyler S. Klann United States	7	420 1.4×	74 0.6×	18 0.6×	28 1.2×	25 1.1×	9	464
Nicolas Mathis Switzerland	9	321 1.0×	117 1.0×	24 0.8×	20 0.9×	21 0.9×	12	362
Gou Takahashi Japan	8	315 1.0×	151 1.2×	24 0.8×	29 1.3×	14 0.6×	18	360
Xiaochan Lu China	9	320 1.0×	88 0.7×	18 0.6×	14 0.6×	15 0.7×	19	370
Sannie J. Culbertson United States	4	396 1.3×	90 0.7×	35 1.2×	47 2.0×	37 1.6×	6	416
Guoxu Song China	6	286 0.9×	51 0.4×	46 1.6×	26 1.1×	45 2.0×	8	315
Aidan R. O’Brien Australia	8	298 1.0×	58 0.5×	41 1.4×	13 0.6×	40 1.7×	11	331

Countries citing papers authored by Judith Gallant

Since Specialization

Citations

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

Fields of papers citing papers by Judith Gallant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judith Gallant. 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 Judith Gallant. The network helps show where Judith Gallant may publish in the future.

Co-authorship network of co-authors of Judith Gallant

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

All Works

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9 of 9 papers shown

1.

Proulx, Megan K., Chin‐Jen Wu, Ping Xu, et al.. (2025). Noncanonical T cell responses are associated with protection from tuberculosis in mice and humans. The Journal of Experimental Medicine. 222(7). 1 indexed citations

2.

Ghanta, Krishna S., Zexiang Chen, Aamir Mir, et al.. (2021). 5′-Modifications improve potency and efficacy of DNA donors for precision genome editing. eLife. 10. 38 indexed citations

3.

Edraki, Alireza, Aamir Mir, Raed Ibraheim, et al.. (2018). A Compact, High-Accuracy Cas9 with a Dinucleotide PAM for In Vivo Genome Editing. Molecular Cell. 73(4). 714–726.e4. 188 indexed citations

4.

Wang, Feng, Ana Bošković, Xiaochun Zhu, et al.. (2017). Rlim-Dependent and -Independent Pathways for X Chromosome Inactivation in Female ESCs. Cell Reports. 21(13). 3691–3699. 17 indexed citations

5.

Luo, Yin, et al.. (2017). Evidence for intermolecular domain exchange in the Fab domains of dimer and oligomers of an IgG1 monoclonal antibody. mAbs. 9(6). 916–926. 12 indexed citations

6.

Shin, Jongdae, Mary C. Wallingford, Judith Gallant, et al.. (2014). RLIM is dispensable for X-chromosome inactivation in the mouse embryonic epiblast. Nature. 511(7507). 86–89. 48 indexed citations

7.

Yoon, Yeonsoo, Dale O. Cowley, Judith Gallant, et al.. (2012). Conditional Aurora A deficiency differentially affects early mouse embryo patterning. Developmental Biology. 371(1). 77–85. 15 indexed citations

8.

Low, Hoi Pang, Béatrice Gréco, Yusuke Tanahashi, et al.. (2008). Embryonic stem cell rescue of tremor and ataxia in myelin-deficient shiverer mice. Journal of the Neurological Sciences. 276(1-2). 133–137. 9 indexed citations

9.

Gréco, Béatrice, Hoi Pang Low, Eric C. Johnson, et al.. (2004). Differentiation Prevents Assessment of Neural Stem Cell Pluripotency after Blastocyst Injection. Stem Cells. 22(4). 600–608. 7 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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