Sarah E. M. Born

754 total citations
7 papers, 516 citations indexed

About

Sarah E. M. Born is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Sarah E. M. Born has authored 7 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Sarah E. M. Born's work include Tuberculosis Research and Epidemiology (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Biochemical and Molecular Research (2 papers). Sarah E. M. Born is often cited by papers focused on Tuberculosis Research and Epidemiology (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Biochemical and Molecular Research (2 papers). Sarah E. M. Born collaborates with scholars based in United States, Slovakia and Mexico. Sarah E. M. Born's co-authors include Anna E. Grzegorzewicz, Vijay A. K. B. Gundi, Mary Jackson, Jana Korduláková, Michael McNeil, Anne J. Lenaerts, E. Jeffrey North, Sivagami Sundaram Chavadi, Christophe Morisseau and Hà Phạm and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Journal of Bacteriology.

In The Last Decade

Sarah E. M. Born

7 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah E. M. Born United States 5 367 277 272 78 66 7 516
Sivagami Sundaram Chavadi United States 10 406 1.1× 324 1.2× 336 1.2× 93 1.2× 72 1.1× 10 605
Katherine A. Abrahams United Kingdom 12 393 1.1× 410 1.5× 233 0.9× 77 1.0× 36 0.5× 17 629
Curtis A. Engelhart United States 12 362 1.0× 406 1.5× 250 0.9× 103 1.3× 80 1.2× 18 635
Thulasi Warrier United States 15 335 0.9× 284 1.0× 257 0.9× 97 1.2× 27 0.4× 24 647
Romain Veyron‐Churlet France 15 543 1.5× 420 1.5× 478 1.8× 86 1.1× 88 1.3× 24 840
Joshua B. Wallach United States 8 426 1.2× 431 1.6× 317 1.2× 74 0.9× 99 1.5× 10 656
Gaëlle S. Kolly Switzerland 9 324 0.9× 315 1.1× 190 0.7× 31 0.4× 28 0.4× 11 483
Theresa O’Malley United States 12 347 0.9× 336 1.2× 185 0.7× 64 0.8× 48 0.7× 17 560
Małgorzata Korycka‐Machała Poland 15 192 0.5× 331 1.2× 169 0.6× 68 0.9× 103 1.6× 32 549
Steven M. Denkin United States 12 347 0.9× 306 1.1× 240 0.9× 39 0.5× 33 0.5× 14 685

Countries citing papers authored by Sarah E. M. Born

Since Specialization
Citations

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

Fields of papers citing papers by Sarah E. M. Born

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah E. M. Born. 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 Sarah E. M. Born. The network helps show where Sarah E. M. Born may publish in the future.

Co-authorship network of co-authors of Sarah E. M. Born

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

All Works

7 of 7 papers shown
1.
Born, Sarah E. M., Matthew J. Reichlen, Iona L. Bartek, et al.. (2023). Population heterogeneity in Mycobacterium smegmatis and Mycobacterium abscessus. Microbiology. 169(10). 4 indexed citations
2.
Reichlen, Matthew J., Sarah E. M. Born, Michael A. Lyons, et al.. (2023). Standardized RS Ratio Metrics To Assess Tuberculosis Antimicrobial Efficacy and Potency. Antimicrobial Agents and Chemotherapy. 67(1). e0148322–e0148322. 2 indexed citations
3.
Flores‐Valdez, Mario Alberto, Eliza J. R. Peterson, Nitin S. Baliga, et al.. (2020). Transcriptional portrait of M. bovis BCG during biofilm production shows genes differentially expressed during intercellular aggregation and substrate attachment. Scientific Reports. 10(1). 12578–12578. 14 indexed citations
4.
Reichlen, Matthew J., et al.. (2017). Anaerobic Mycobacterium tuberculosis Cell Death Stems from Intracellular Acidification Mitigated by the DosR Regulon. Journal of Bacteriology. 199(23). 13 indexed citations
5.
Bartek, Iona L., Matthew J. Reichlen, Ryan W. Honaker, et al.. (2016). Antibiotic Bactericidal Activity Is Countered by Maintaining pH Homeostasis in Mycobacterium smegmatis. mSphere. 1(4). 42 indexed citations
6.
Grzegorzewicz, Anna E., Jana Korduláková, Victoria Jones, et al.. (2012). A Common Mechanism of Inhibition of the Mycobacterium tuberculosis Mycolic Acid Biosynthetic Pathway by Isoxyl and Thiacetazone. Journal of Biological Chemistry. 287(46). 38434–38441. 86 indexed citations
7.
Grzegorzewicz, Anna E., Hà Phạm, Vijay A. K. B. Gundi, et al.. (2012). Inhibition of mycolic acid transport across the Mycobacterium tuberculosis plasma membrane. Nature Chemical Biology. 8(4). 334–341. 355 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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