Surbhi Leekha

4.0k total citations · 1 hit paper
115 papers, 2.6k citations indexed

About

Surbhi Leekha is a scholar working on Infectious Diseases, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Surbhi Leekha has authored 115 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Infectious Diseases, 38 papers in Epidemiology and 28 papers in Clinical Biochemistry. Recurrent topics in Surbhi Leekha's work include Antibiotic Use and Resistance (28 papers), Bacterial Identification and Susceptibility Testing (28 papers) and Nosocomial Infections in ICU (21 papers). Surbhi Leekha is often cited by papers focused on Antibiotic Use and Resistance (28 papers), Bacterial Identification and Susceptibility Testing (28 papers) and Nosocomial Infections in ICU (21 papers). Surbhi Leekha collaborates with scholars based in United States, India and Canada. Surbhi Leekha's co-authors include Christine L. Terrell, Randall S. Edson, Anthony D. Harris, J. Kristie Johnson, Kerri A. Thom, Eli N. Perencevich, Daniel J. Morgan, Priya Sampathkumar, Daniel J. Diekema and Kimberly C. Claeys and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Journal of Clinical Microbiology.

In The Last Decade

Surbhi Leekha

110 papers receiving 2.5k citations

Hit Papers

General Principles of Antimicrobial Therapy 2011 2026 2016 2021 2011 100 200 300 400 500
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.

  1. General Principles of Antimicrobial Therapy
    2011 589 citations Surbhi Leekha et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Surbhi Leekha United States 27 951 874 582 500 335 115 2.6k
Rebekah W. Moehring United States 27 675 0.7× 783 0.9× 680 1.2× 400 0.8× 244 0.7× 123 2.2k
E. Yoko Furuya United States 29 902 0.9× 730 0.8× 569 1.0× 252 0.5× 598 1.8× 84 2.7k
Alessandro Russo Italy 29 1.2k 1.2× 961 1.1× 473 0.8× 379 0.8× 810 2.4× 136 2.9k
Stefan P. Kuster Switzerland 26 1.6k 1.7× 858 1.0× 507 0.9× 255 0.5× 446 1.3× 116 3.3k
Evelina Tacconelli Italy 33 1.3k 1.4× 1.2k 1.4× 545 0.9× 372 0.7× 591 1.8× 117 3.4k
Lindsey M. Weiner United States 14 996 1.0× 822 0.9× 705 1.2× 477 1.0× 780 2.3× 23 3.1k
Jason G. Newland United States 30 987 1.0× 615 0.7× 737 1.3× 260 0.5× 215 0.6× 138 2.8k
Gonzalo Bearman United States 32 760 0.8× 1.6k 1.8× 483 0.8× 464 0.9× 228 0.7× 212 3.3k
Jonas Marschall Switzerland 30 973 1.0× 807 0.9× 409 0.7× 447 0.9× 567 1.7× 146 3.3k
Alexandre R. Marra Brazil 36 1.2k 1.3× 1.6k 1.8× 526 0.9× 433 0.9× 491 1.5× 164 3.5k

Countries citing papers authored by Surbhi Leekha

Since Specialization
Citations

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

Fields of papers citing papers by Surbhi Leekha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surbhi Leekha

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

All Works

20 of 20 papers shown
1.
Claeys, Kimberly C., J. Kristie Johnson, Meghana Patel, et al.. (2024). Improving Antibiotic Use for Ventilator-Associated Pneumonia Through Diagnostic Stewardship: A Proof-of-Concept Mixed Methods Study. Open Forum Infectious Diseases. 11(9). ofae500–ofae500. 1 indexed citations
2.
Falvey, Jason R., Elisabeth Vaeth, Rebecca Perlmutter, et al.. (2024). C. auris and neighborhood socioeconomic vulnerability in the state of Maryland from 2019 to 2022. Infection Control and Hospital Epidemiology. 45(10). 1183–1189.
3.
Falvey, Jason R., David Blythe, Elisabeth Vaeth, et al.. (2023). 1800. Candida Auris and Neighborhood Socioeconomic Vulnerability in Maryland. Open Forum Infectious Diseases. 10(Supplement_2). 1 indexed citations
4.
Snyder, Graham M., et al.. (2023). Hospital-onset bacteremia and fungemia: examining healthcare-associated infections prevention through a wider lens. SHILAP Revista de lepidopterología. 3(1). e198–e198. 4 indexed citations
5.
Morgan, Daniel J., Erik R. Dubberke, Tiffany Hink, et al.. (2022). The Impact of Universal Glove and Gown Use on Clostridioides Difficile Acquisition: A Cluster-Randomized Trial. Clinical Infectious Diseases. 76(3). e1202–e1207. 7 indexed citations
6.
Leekha, Surbhi, et al.. (2022). Evaluating the incidence of bacteriuria in female patients before and after implementation of external urinary collection devices. SHILAP Revista de lepidopterología. 2(1). e44–e44. 2 indexed citations
7.
O’Hara, Nathan N., et al.. (2022). Understanding healthcare provider preferences for ordering respiratory cultures to diagnose ventilator associated pneumonia: A discrete choice experiment. SHILAP Revista de lepidopterología. 2(1). e120–e120. 7 indexed citations
8.
Siddiqui, Zishan K., et al.. (2021). Infection Prevention Considerations for a Multi-Mission Convention Center Field Hospital in Baltimore, Maryland, During the COVID-19 Pandemic. Disaster Medicine and Public Health Preparedness. 16(6). 2643–2650. 4 indexed citations
9.
Smith, Richard D., J. Kristie Johnson, Mark A. Ahlman, et al.. (2021). Clinical evaluation of Sofia Rapid Antigen Assay for detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among emergency department to hospital admissions. Infection Control and Hospital Epidemiology. 43(8). 968–973. 14 indexed citations
10.
Claeys, Kimberly C., Barbara W. Trautner, Surbhi Leekha, et al.. (2021). Optimal Urine Culture Diagnostic Stewardship Practice—Results from an Expert Modified-Delphi Procedure. Clinical Infectious Diseases. 75(3). 382–389. 42 indexed citations
11.
12.
O’Hara, Lyndsay M., Mary Richert, Jessica Brown, et al.. (2021). A qualitative assessment of the diagnosis and management of ventilator-associated pneumonia among critical care clinicians exploring opportunities for diagnostic stewardship. Infection Control and Hospital Epidemiology. 43(3). 284–290. 10 indexed citations
13.
Claeys, Kimberly C., Richard T. Smith, Yunyun Jiang, et al.. (2021). Day at the Races: Comparing BioFire FilmArray Blood Culture ID Panels With Verigene Blood Culture Panel in Gram-Negative Bloodstream Infections Using DOOR-MAT Analysis. Clinical Infectious Diseases. 73(6). 1103–1106. 11 indexed citations
14.
Blanco, Natalia, Gwen Robinson, Emily L. Heil, et al.. (2021). Impact of a C. difficile infection (CDI) reduction bundle and its components on CDI diagnosis and prevention. American Journal of Infection Control. 49(3). 319–326. 2 indexed citations
15.
Goodman, Katherine E, Sara E. Cosgrove, Lisa Pineles, et al.. (2020). Significant Regional Differences in Antibiotic Use Across 576 US Hospitals and 11 701 326 Adult Admissions, 2016–2017. Clinical Infectious Diseases. 73(2). 213–222. 34 indexed citations
16.
Claeys, Kimberly C., et al.. (2020). Management of Gram-Negative Bloodstream Infections in the Era of Rapid Diagnostic Testing: Impact With and Without Antibiotic Stewardship. Open Forum Infectious Diseases. 7(10). ofaa427–ofaa427. 25 indexed citations
17.
Vega, Ana, Emily L. Heil, Mary Banoub, et al.. (2020). Evaluation of Addition of Intravenous Metronidazole to Oral Vancomycin Therapy in Critically Ill Patients with Non‐Fulminant Severe Clostridioides difficile Infection. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 40(5). 398–407. 5 indexed citations
18.
Claeys, Kimberly C., Deborah Morgan, Surbhi Leekha, & Kaede V. Sullivan. (2020). Diagnostic and antimicrobial stewardship with molecular respiratory testing across the SHEA Research Network. Infection Control and Hospital Epidemiology. 42(8). 1010–1013. 3 indexed citations
19.
Goodman, Katherine E, Lisa Pineles, Laurence S. Magder, et al.. (2020). Electronically Available Patient Claims Data Improve Models for Comparing Antibiotic Use Across Hospitals: Results From 576 US Facilities. Clinical Infectious Diseases. 73(11). e4484–e4492. 14 indexed citations
20.
Claeys, Kimberly C., Min Zhan, Lisa Pineles, et al.. (2020). Conditional reflex to urine culture: Evaluation of a diagnostic stewardship intervention within the Veterans’ Affairs and Centers for Disease Control and Prevention Practice-Based Research Network. Infection Control and Hospital Epidemiology. 42(2). 176–181. 28 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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