Jeffrey Bajko

1.7k total citations · 1 hit paper
6 papers, 1.3k citations indexed

About

Jeffrey Bajko is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jeffrey Bajko has authored 6 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Jeffrey Bajko's work include Epigenetics and DNA Methylation (3 papers), Genetic Syndromes and Imprinting (2 papers) and Cancer-related gene regulation (2 papers). Jeffrey Bajko is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Genetic Syndromes and Imprinting (2 papers) and Cancer-related gene regulation (2 papers). Jeffrey Bajko collaborates with scholars based in United States and China. Jeffrey Bajko's co-authors include Taiping Chen, Sarah Hevi, Hui Su, Hong Lei, Frédérique Gay, En Li, Guoliang Xu, Julia K. Kurash, Weitao Sun and François Gaudet and has published in prestigious journals such as Nature, Nature Genetics and PLoS ONE.

In The Last Decade

Jeffrey Bajko

6 papers receiving 1.3k 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.

The lysine demethylase LSD1 (KDM1) is required for maintenance of global DNA methylation

2008 626 citations Jing Wang, Sarah Hevi et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeffrey Bajko United States	6	1.2k	303	125	77	58	6	1.3k
Hui Su United States	6	1.4k 1.1×	319 1.1×	130 1.0×	79 1.0×	60 1.0×	9	1.5k
Hitomi Yatsuki Japan	20	693 0.6×	383 1.3×	209 1.7×	124 1.6×	36 0.6×	51	920
Mala Samaranayake United States	8	1.0k 0.8×	193 0.6×	76 0.6×	161 2.1×	18 0.3×	8	1.2k
Karin Segers Belgium	15	565 0.5×	533 1.8×	149 1.2×	122 1.6×	28 0.5×	29	835
Andrew Fedoriw United States	12	681 0.6×	294 1.0×	126 1.0×	58 0.8×	71 1.2×	14	764
Nicola Vickaryous Australia	10	572 0.5×	273 0.9×	125 1.0×	59 0.8×	35 0.6×	16	769
Aimee I. Badeaux United States	7	773 0.6×	172 0.6×	36 0.3×	48 0.6×	20 0.3×	7	905
Edward Ramos United States	20	1.2k 1.0×	303 1.0×	51 0.4×	43 0.6×	36 0.6×	28	1.6k
Philip Snell United Kingdom	9	775 0.6×	138 0.5×	58 0.5×	52 0.7×	132 2.3×	11	931
Moyra Lawrence United Kingdom	5	816 0.7×	104 0.3×	38 0.3×	92 1.2×	30 0.5×	7	954

Countries citing papers authored by Jeffrey Bajko

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey Bajko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Bajko

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

All Works

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6 of 6 papers shown

1.

Bajko, Jeffrey, et al.. (2020). Pendrin stimulates a chloride absorption pathway to increase CFTR‐mediated chloride secretion from Cystic Fibrosis airway epithelia. FASEB BioAdvances. 2(9). 526–537. 8 indexed citations

2.

Gardet, Agnès, Wei‐Chun Chou, Taylor L. Reynolds, et al.. (2016). Pristane-Accelerated Autoimmune Disease in (SWR X NZB) F1 Mice Leads to Prominent Tubulointerstitial Inflammation and Human Lupus Nephritis-Like Fibrosis. PLoS ONE. 11(10). e0164423–e0164423. 8 indexed citations

3.

Ciccone, David, Hui Su, Sarah Hevi, et al.. (2009). KDM1B is a histone H3K4 demethylase required to establish maternal genomic imprints. Nature. 461(7262). 415–418. 378 indexed citations

4.

Wang, Jing, Sarah Hevi, Julia K. Kurash, et al.. (2008). The lysine demethylase LSD1 (KDM1) is required for maintenance of global DNA methylation. Nature Genetics. 41(1). 125–129. 626 indexed citations breakdown →

5.

Jones, Brendan T., Hui Su, Audesh Bhat, et al.. (2008). The Histone H3K79 Methyltransferase Dot1L Is Essential for Mammalian Development and Heterochromatin Structure. PLoS Genetics. 4(9). e1000190–e1000190. 288 indexed citations

6.

Roźéwicka, L, et al.. (1976). Aberrations of meiotic chromosomes induced in mice with insecticides.. PubMed. 35(3). 361–8. 5 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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