Petar V. Todorov

580 total citations · 1 hit paper
10 papers, 286 citations indexed

About

Petar V. Todorov is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Petar V. Todorov has authored 10 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Pharmacology. Recurrent topics in Petar V. Todorov's work include Genetic Associations and Epidemiology (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Computational Drug Discovery Methods (2 papers). Petar V. Todorov is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Computational Drug Discovery Methods (2 papers). Petar V. Todorov collaborates with scholars based in United States, Denmark and United Kingdom. Petar V. Todorov's co-authors include Peter K. Sorger, Clemens B. Hug, Mark W. Albers, Nathan Johnson, Artem Sokolov, Sarah A. Boswell, Bradley T. Hyman, Nienke Moret, Kyle E. Evans and George Zhou and has published in prestigious journals such as Nature Communications, Bioinformatics and Diabetes.

In The Last Decade

Petar V. Todorov

10 papers receiving 284 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.

Machine learning identifies candidates for drug repurposing in Alzheimer’s disease

2021 181 citations Steve Rodriguez, Clemens B. Hug 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
Petar V. Todorov United States	7	132	91	54	42	18	10	286
Jielin Xu United States	13	362 2.7×	126 1.4×	79 1.5×	32 0.8×	35 1.9×	27	684
Nienke Moret United States	3	187 1.4×	131 1.4×	41 0.8×	53 1.3×	6 0.3×	4	298
Kyle E. Evans United States	3	125 0.9×	85 0.9×	46 0.9×	44 1.0×	7 0.4×	4	244
Yanmei Lu China	11	144 1.1×	15 0.2×	102 1.9×	26 0.6×	26 1.4×	47	442
George Zhou United States	2	219 1.7×	85 0.9×	39 0.7×	40 1.0×	120 6.7×	4	355
Rickie D. Fannin United States	6	172 1.3×	60 0.7×	23 0.4×	10 0.2×	19 1.1×	6	329
Luc Wouters Belgium	10	101 0.8×	29 0.3×	28 0.5×	26 0.6×	24 1.3×	18	333
Simran Maggo New Zealand	11	101 0.8×	24 0.3×	31 0.6×	59 1.4×	32 1.8×	32	317

Countries citing papers authored by Petar V. Todorov

Since Specialization

Citations

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

Fields of papers citing papers by Petar V. Todorov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Petar V. Todorov. 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 Petar V. Todorov. The network helps show where Petar V. Todorov may publish in the future.

Co-authorship network of co-authors of Petar V. Todorov

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

All Works

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10 of 10 papers shown

1.

Todorov, Petar V., Anders B. Klein, Kristoffer L. Egerod, Christoffer Clemmensen, & Tune H. Pers. (2024). An RNA-seq atlas of mouse brain areas during fasting and diet-induced obesity. Scientific Data. 11(1). 44–44. 1 indexed citations

2.

Merino, Jordi, Hassan S. Dashti, Chloé Sarnowski, et al.. (2021). Genetic analysis of dietary intake identifies new loci and functional links with metabolic traits. Nature Human Behaviour. 6(1). 155–163. 27 indexed citations

3.

Rodriguez, Steve, Clemens B. Hug, Petar V. Todorov, et al.. (2021). Machine learning identifies candidates for drug repurposing in Alzheimer’s disease. Nature Communications. 12(1). 1033–1033. 181 indexed citations breakdown →

4.

Etson, Candice M., et al.. (2021). Single-Molecule Dwell-Time Analysis of Restriction Endonuclease-Mediated DNA Cleavage. Journal of Visualized Experiments. 1 indexed citations

5.

Ludwig, Mette Q., Petar V. Todorov, Kristoffer L. Egerod, David P. Olson, & Tune H. Pers. (2021). Single-Cell Mapping of GLP-1 and GIP Receptor Expression in the Dorsal Vagal Complex. Diabetes. 70(9). 1945–1955. 18 indexed citations

6.

Ramm, Susanne, Petar V. Todorov, Vidya Chandrasekaran, et al.. (2019). A Systems Toxicology Approach for the Prediction of Kidney Toxicity and Its Mechanisms In Vitro. Toxicological Sciences. 169(1). 54–69. 21 indexed citations

7.

Merino, Jordi, Hassan S. Dashti, Chloé Sarnowski, et al.. (2019). Genetic Analysis of Dietary Intake Identifies New Loci and Functional Links with Metabolic Traits. SSRN Electronic Journal. 6 indexed citations

8.

Todorov, Petar V., Benjamin M. Gyori, John A. Bachman, & Peter K. Sorger. (2019). INDRA-IPM: interactive pathway modeling using natural language with automated assembly. Bioinformatics. 35(21). 4501–4503. 12 indexed citations

9.

Greenawalt, Danielle, Winnie S. Liang, Sakina Saif, et al.. (2017). Comparative analysis of primary versus relapse/refractory DLBCL identifies shifts in mutation spectrum. Oncotarget. 8(59). 99237–99244. 17 indexed citations

10.

Etson, Candice M., Petar V. Todorov, & David R. Walt. (2014). Elucidating Restriction Endonucleases Reaction Mechanisms via Dwell-Time Distribution Analysis. Biophysical Journal. 106(2). 22a–22a. 2 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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