Vadim Baidin

680 total citations · 1 hit paper
7 papers, 259 citations indexed

About

Vadim Baidin is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Vadim Baidin has authored 7 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Vadim Baidin's work include Bacterial Genetics and Biotechnology (4 papers), RNA and protein synthesis mechanisms (3 papers) and Antibiotic Resistance in Bacteria (2 papers). Vadim Baidin is often cited by papers focused on Bacterial Genetics and Biotechnology (4 papers), RNA and protein synthesis mechanisms (3 papers) and Antibiotic Resistance in Bacteria (2 papers). Vadim Baidin collaborates with scholars based in United States, Switzerland and South Korea. Vadim Baidin's co-authors include Daniel Kahne, Karanbir S. Pahil, Tristan W. Owens, Michael D. Mandler, James Lee, Timothy C. Meredith, Fabian Dey, David Tomasek, Kenneth A. Bradley and Andrew C. Kruse and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Vadim Baidin

7 papers receiving 251 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.

A new antibiotic traps lipopolysaccharide in its intermembrane transporter

2024 74 citations Karanbir S. Pahil, Morgan S. A. Gilman et al. Nature profile →

Peers

Vadim Baidin

MM

MB

GENET

PHARM

ECOLO

Karanbir S. Pahil United States

Emily J. Geddes United States

Ravi K. R. Marreddy United States

Steven M. Crespo‐Carbone United States

Asha S. Nayar United States

Kelly Fahnoe United States

Philippe Villain-Guillot France

Eun Seon Chung South Korea

Jitender Mehla United States

Cullen L. Myers Canada

Karanbir S. Pahil United States

Vadim Baidin

167 ×1.2

MM

166 ×1.3

MB

116 ×1.8

GENET

38 ×0.8

PHARM

48 ×1.1

ECOLO

Citations per year, relative to Vadim Baidin Vadim Baidin (= 1×) peers Karanbir S. Pahil

Countries citing papers authored by Vadim Baidin

Since Specialization

Citations

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

Fields of papers citing papers by Vadim Baidin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vadim Baidin

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

All Works

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7 of 7 papers shown

1.

Pahil, Karanbir S., Morgan S. A. Gilman, Vadim Baidin, et al.. (2024). A new antibiotic traps lipopolysaccharide in its intermembrane transporter. Nature. 625(7995). 572–577. 74 indexed citations breakdown →

2.

Taguchi, Atsushi, et al.. (2023). A Time‐Resolved FRET Assay Identifies a Small Molecule that Inhibits the Essential Bacterial Cell Wall Polymerase FtsW. Angewandte Chemie International Edition. 62(25). e202301522–e202301522. 8 indexed citations

3.

Rajagopal, Mithila, Vadim Baidin, Wonsik Lee, et al.. (2022). Rapid Inhibitor Discovery by Exploiting Synthetic Lethality. Journal of the American Chemical Society. 144(8). 3696–3705. 12 indexed citations

4.

Baidin, Vadim, Tristan W. Owens, Michael B. Lazarus, & Daniel Kahne. (2021). Simple Secondary Amines Inhibit Growth of Gram-Negative Bacteria through Highly Selective Binding to Phenylalanyl-tRNA Synthetase. Journal of the American Chemical Society. 143(2). 623–627. 12 indexed citations

5.

Zhang, Ge, Vadim Baidin, Karanbir S. Pahil, et al.. (2018). Cell-based screen for discovering lipopolysaccharide biogenesis inhibitors. Proceedings of the National Academy of Sciences. 115(26). 6834–6839. 69 indexed citations

6.

Buss, Jackson, Vadim Baidin, Michael A. Welsh, et al.. (2018). Pathway-Directed Screen for Inhibitors of the Bacterial Cell Elongation Machinery. Antimicrobial Agents and Chemotherapy. 63(1). 20 indexed citations

7.

Mandler, Michael D., Vadim Baidin, James Lee, et al.. (2018). Novobiocin Enhances Polymyxin Activity by Stimulating Lipopolysaccharide Transport. Journal of the American Chemical Society. 140(22). 6749–6753. 64 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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