Kyle Vogan

5.5k total citations · 1 hit paper
45 papers, 3.4k citations indexed

About

Kyle Vogan is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Kyle Vogan has authored 45 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Genetics and 5 papers in Cell Biology. Recurrent topics in Kyle Vogan's work include Developmental Biology and Gene Regulation (7 papers), Genomics and Chromatin Dynamics (5 papers) and RNA Research and Splicing (4 papers). Kyle Vogan is often cited by papers focused on Developmental Biology and Gene Regulation (7 papers), Genomics and Chromatin Dynamics (5 papers) and RNA Research and Splicing (4 papers). Kyle Vogan collaborates with scholars based in United States, Canada and United Kingdom. Kyle Vogan's co-authors include Piet Gros, Clifford J. Tabin, Silvia M. Vidal, Danielle Malo, Emil Skamene, D. Alan Underhill, Zoha Kibar, Monica J. Justice, Normand Groulx and Juan Carlos Izpisúa Belmonte and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Kyle Vogan

41 papers receiving 3.3k citations

Hit Papers

Natural resistance to infection with intracellular parasi... 1993 2026 2004 2015 1993 250 500 750
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.

  1. Natural resistance to infection with intracellular parasites: Isolation of a candidate for Bcg
    1993 945 citations Silvia M. Vidal, Danielle Malo et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle Vogan United States 18 2.2k 791 385 351 344 45 3.4k
Stefan Krebs Germany 33 2.6k 1.2× 578 0.7× 310 0.8× 693 2.0× 383 1.1× 134 4.5k
Yutaka Toyoda Japan 38 2.9k 1.3× 1.8k 2.3× 347 0.9× 515 1.5× 174 0.5× 161 6.9k
Jochen Hecht Germany 32 2.1k 1.0× 987 1.2× 241 0.6× 433 1.2× 146 0.4× 77 3.5k
Sean S. Molloy United States 19 2.1k 0.9× 576 0.7× 1.1k 3.0× 356 1.0× 283 0.8× 19 3.3k
Isaäc J. Nijman Netherlands 36 2.6k 1.2× 1.9k 2.4× 384 1.0× 388 1.1× 216 0.6× 81 5.1k
Richard Gelinas United States 35 4.5k 2.1× 2.9k 3.7× 173 0.4× 394 1.1× 320 0.9× 67 6.6k
James W. Nagle United States 25 1.9k 0.9× 453 0.6× 418 1.1× 463 1.3× 114 0.3× 43 3.2k
Michael K. Shaw United States 42 1.9k 0.9× 672 0.8× 805 2.1× 860 2.5× 214 0.6× 119 5.3k
Naoya Yuhki United States 29 1.2k 0.5× 1.1k 1.5× 232 0.6× 926 2.6× 145 0.4× 51 3.4k
Naokazu Inoue Japan 27 1.3k 0.6× 763 1.0× 224 0.6× 765 2.2× 105 0.3× 58 3.4k

Countries citing papers authored by Kyle Vogan

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Vogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Vogan

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Vogan. A scholar is included among the top collaborators of Kyle Vogan 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 Kyle Vogan. Kyle Vogan 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.
Vogan, Kyle. (2024). Autoreactive T cells target neoself-antigens in lupus. Nature Genetics. 56(10). 1999–1999. 1 indexed citations
2.
Vogan, Kyle. (2024). G6PD deficiency and diabetes complications. Nature Genetics. 56(8). 1541–1541.
3.
Vogan, Kyle. (2024). Implementing polygenic risk scores in the clinic. Nature Genetics. 56(4). 557–557. 1 indexed citations
4.
Vogan, Kyle. (2023). VNTRs and disease risk. Nature Genetics. 55(9). 1421–1421. 1 indexed citations
5.
Vogan, Kyle. (2023). PNPLA3-associated mitochondrial dysfunction. Nature Genetics. 56(1). 9–9.
6.
Vogan, Kyle. (2015). Zebrafish mutants versus morphants. Nature Genetics. 47(2). 105–105. 2 indexed citations
7.
Vogan, Kyle. (2014). RPGRIP1L, FTO and obesity. Nature Genetics. 46(6). 532–532. 2 indexed citations
8.
Vogan, Kyle. (2013). ARMC5 and adrenal hyperplasia. Nature Genetics. 46(1). 7–7. 1 indexed citations
9.
Vogan, Kyle. (2011). MED12 mutations and uterine fibroids. Nature Genetics. 43(10). 928–928. 2 indexed citations
10.
Tabin, Clifford J. & Kyle Vogan. (2003). A two-cilia model for vertebrate left-right axis specification: Figure 1.. Genes & Development. 17(1). 1–6. 216 indexed citations
11.
Kibar, Zoha, et al.. (2001). Ltap, a mammalian homolog of Drosophila Strabismus/Van Gogh, is altered in the mouse neural tube mutant Loop-tail. Nature Genetics. 28(3). 251–255. 406 indexed citations
12.
Pearse, Richard V., Kyle Vogan, & Clifford J. Tabin. (2001). Ptc1 and Ptc2 Transcripts Provide Distinct Readouts of Hedgehog Signaling Activity during Chick Embryogenesis. Developmental Biology. 239(1). 15–29. 75 indexed citations
13.
Schweitzer, Ronen, Kyle Vogan, & Clifford J. Tabin. (2000). Similar expression and regulation of Gli2 and Gli3 in the chick limb bud. Mechanisms of Development. 98(1-2). 171–174. 31 indexed citations
14.
Underhill, D. Alan, et al.. (2000). Transcription mapping and expression analysis of candidate genes in the vicinity of the mouse Loop-tail mutation. Mammalian Genome. 11(8). 633–638. 7 indexed citations
15.
Capdevila, Javier, Kyle Vogan, Clifford J. Tabin, & Juan Carlos Izpisúa Belmonte. (2000). Mechanisms of Left–Right Determination in Vertebrates. Cell. 101(1). 9–21. 258 indexed citations
16.
Vogan, Kyle & Piet Gros. (1997). The C-terminal Subdomain Makes an Important Contribution to the DNA Binding Activity of the Pax-3 Paired Domain. Journal of Biological Chemistry. 272(45). 28289–28295. 31 indexed citations
17.
Vogan, Kyle, D. Alan Underhill, & Piet Gros. (1996). An Alternative Splicing Event in the Pax-3 Paired Domain Identifies the Linker Region as a Key Determinant of Paired Domain DNA-Binding Activity. Molecular and Cellular Biology. 16(12). 6677–6686. 81 indexed citations
18.
Underhill, D. Alan, Kyle Vogan, & Piet Gros. (1995). Analysis of the mouse Splotch-delayed mutation indicates that the Pax-3 paired domain can influence homeodomain DNA-binding activity.. Proceedings of the National Academy of Sciences. 92(9). 3692–3696. 44 indexed citations
19.
Malo, Danielle, Kyle Vogan, Silvia M. Vidal, et al.. (1994). Haplotype Mapping and Sequence Analysis of the Mouse Nramp Gene Predict Susceptibility to Infection with Intracellular Parasites. Genomics. 23(1). 51–61. 225 indexed citations
20.
Vidal, Silvia M., Danielle Malo, Kyle Vogan, Emil Skamene, & Piet Gros. (1993). Natural resistance to infection with intracellular parasites: Isolation of a candidate for Bcg. Cell. 73(3). 469–485. 945 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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