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.
Antimicrobial resistance, mechanisms and its clinical significance
2020333 citationsMuzaheed Muzaheed, Amal J. Fatani et al.Disease-a-Monthprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Sanjay Rathod'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 Sanjay Rathod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Rathod more than expected).
This network shows the impact of papers produced by Sanjay Rathod. 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 Sanjay Rathod. The network helps show where Sanjay Rathod may publish in the future.
Co-authorship network of co-authors of Sanjay Rathod
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Rathod.
A scholar is included among the top collaborators of Sanjay Rathod 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 Sanjay Rathod. Sanjay Rathod is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Muzaheed, Muzaheed, Amal J. Fatani, Mohammed Alosaimi, et al.. (2020). Antimicrobial resistance, mechanisms and its clinical significance. Disease-a-Month. 66(6). 100971–100971.333 indexed citations breakdown →
3.
Rathod, Sanjay, et al.. (2019). 4. Study of Metallo-beta lactamase production in imipenem-resistant gram-negative bacteria in surgery and ICUs in tertiary care hospital.. SHILAP Revista de lepidopterología.1 indexed citations
Rathod, Sanjay, et al.. (2015). Bacteriological Profile and Drug Resistance Pattern of Isolates of the Patients Admitted in Medical Intensive Care Unit of A Tertiary Care Hospital in Ahmadabad. International journal of scientific research. 4(2). 317–320.2 indexed citations
8.
Rathod, Sanjay, et al.. (2013). Utility of UTI CHROMagar media for the rapid identification of the uropathogens.. Journal of the Medical Sciences (Berkala Ilmu Kedokteran). 2(1). 39–42.1 indexed citations
9.
Rathod, Sanjay, et al.. (2013). Bacteriological Study of Clinically Suspected Cases of Gas Gangrene.. International journal of scientific research.1 indexed citations
10.
Rathod, Sanjay, et al.. (2013). "Prevalence of nonfermenting Gram negative bacilli infection in tertiary care Hospital in Ahmedabad, Gujarat". 2(6).10 indexed citations
11.
Rathod, Sanjay, et al.. (2012). Candida species identification from clinical specimens and its changing pattern in a tertiary care hospital. 17–22.1 indexed citations
12.
Rathod, Sanjay, et al.. (2012). Prevalence of Candida Infection and its Antifungal Susceptibility Pattern in Tertiary Care Hospital, Ahmedabad -. SHILAP Revista de lepidopterología. 2(4). 439–441.14 indexed citations
13.
Rathod, Sanjay, et al.. (2012). BACTERIOLOGICAL ANALYSIS AND RESISTANCE PATTERN AMONG VARIOUS CULTURE ISOLATES FROM NEONATAL SEPTICEMIA AT TERTIARY CARE HOSPITAL OF AHMEDABAD. SHILAP Revista de lepidopterología. 2(4). 466–469.9 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.