Sailaja Vedantam

33.0k total citations · 1 hit paper
10 papers, 526 citations indexed

About

Sailaja Vedantam is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Sailaja Vedantam has authored 10 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Sailaja Vedantam's work include Genetic Associations and Epidemiology (7 papers), Genetic factors in colorectal cancer (3 papers) and Lipid metabolism and disorders (2 papers). Sailaja Vedantam is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Genetic factors in colorectal cancer (3 papers) and Lipid metabolism and disorders (2 papers). Sailaja Vedantam collaborates with scholars based in United States, United Kingdom and Australia. Sailaja Vedantam's co-authors include Joel N. Hirschhorn, Tōnu Esko, Tune H. Pers, Lude Franke, Yingleong Chan, Andrew R. Wood, Timothy M. Frayling, Harm-Jan Westra, Elizabeth K. Speliotes and Juha Karjalainen and has published in prestigious journals such as Cell, Nature Communications and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Sailaja Vedantam

10 papers receiving 516 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.

Biological interpretation of genome-wide association studies using predicted gene functions

2015 359 citations Tune H. Pers, Juha Karjalainen et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sailaja Vedantam United States	7	282	236	83	60	42	10	526
Kinga Hadzsiev Hungary	14	212 0.8×	316 1.3×	82 1.0×	43 0.7×	34 0.8×	73	624
Ja Hye Kim South Korea	15	193 0.7×	239 1.0×	86 1.0×	89 1.5×	24 0.6×	68	553
Teresa Nutile Italy	14	128 0.5×	159 0.7×	47 0.6×	26 0.4×	68 1.6×	23	505
Robert C. Elston United States	11	554 2.0×	191 0.8×	57 0.7×	44 0.7×	44 1.0×	15	781
Hideya Sakakibara Japan	14	143 0.5×	185 0.8×	36 0.4×	47 0.8×	23 0.5×	56	564
Steven D. Klein United States	15	145 0.5×	221 0.9×	112 1.3×	22 0.4×	12 0.3×	31	677
Raili Ermel Estonia	6	357 1.3×	416 1.8×	42 0.5×	13 0.2×	34 0.8×	7	668
Chaowei Tian China	7	161 0.6×	136 0.6×	37 0.4×	14 0.2×	26 0.6×	12	415
Dũng Chí Vũ Vietnam	16	316 1.1×	247 1.0×	222 2.7×	157 2.6×	17 0.4×	35	857
Andrew Yu United States	11	232 0.8×	323 1.4×	26 0.3×	41 0.7×	49 1.2×	23	848

Countries citing papers authored by Sailaja Vedantam

Since Specialization

Citations

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

Fields of papers citing papers by Sailaja Vedantam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sailaja Vedantam

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Richard, Daniel, Pushpanathan Muthuirulan, Mariel Young, et al.. (2024). Functional genomics of human skeletal development and the patterning of height heritability. Cell. 188(1). 15–32.e24. 9 indexed citations

2.

Vedantam, Sailaja, Eirini Marouli, Robin N. Beaumont, et al.. (2023). Identification and analysis of individuals who deviate from their genetically-predicted phenotype. PLoS Genetics. 19(9). e1010934–e1010934. 4 indexed citations

3.

Bartell, Eric, Anders Eliasen, John G. Doench, et al.. (2023). Genome-wide CRISPR screening of chondrocyte maturation newly implicates genes in skeletal growth and height-associated GWAS loci. Cell Genomics. 3(5). 100299–100299. 6 indexed citations

4.

Bartell, Eric, Masanobu Fujimoto, Jane Khoury, et al.. (2020). Protein QTL analysis of IGF-I and its binding proteins provides insights into growth biology. Human Molecular Genetics. 29(15). 2625–2636. 1 indexed citations

5.

Hsu, Yu-Han H., Christina M. Astley, Joanne B. Cole, et al.. (2020). Integrating untargeted metabolomics, genetically informed causal inference, and pathway enrichment to define the obesity metabolome. International Journal of Obesity. 44(7). 1596–1606. 17 indexed citations

6.

Dauber, Andrew, Yan Meng, Laura Audı́, et al.. (2020). A Genome-Wide Pharmacogenetic Study of Growth Hormone Responsiveness. The Journal of Clinical Endocrinology & Metabolism. 105(10). 3203–3214. 14 indexed citations

7.

Astley, Christina M., Jennifer N. Todd, Rany M. Salem, et al.. (2018). Genetic Evidence That Carbohydrate-Stimulated Insulin Secretion Leads to Obesity. Clinical Chemistry. 64(1). 192–200. 57 indexed citations

8.

Pers, Tune H., Juha Karjalainen, Yingleong Chan, et al.. (2015). Biological interpretation of genome-wide association studies using predicted gene functions. Nature Communications. 6(1). 5890–5890. 359 indexed citations breakdown →

9.

Chan, Yingleong, Rany M. Salem, Yu-Han H. Hsu, et al.. (2015). Genome-wide Analysis of Body Proportion Classifies Height-Associated Variants by Mechanism of Action and Implicates Genes Important for Skeletal Development. The American Journal of Human Genetics. 96(5). 695–708. 46 indexed citations

10.

Chiang, Charleston W. K., Ching‐Ti Liu, Guillaume Lettre, et al.. (2012). Ultraconserved Elements in the Human Genome: Association and Transmission Analyses of Highly Constrained Single-Nucleotide Polymorphisms. Genetics. 192(1). 253–266. 13 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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