This map shows the geographic impact of Indu Shukla'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 Indu Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indu Shukla more than expected).
This network shows the impact of papers produced by Indu Shukla. 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 Indu Shukla. The network helps show where Indu Shukla may publish in the future.
Co-authorship network of co-authors of Indu Shukla
This figure shows the co-authorship network connecting the top 25 collaborators of Indu Shukla.
A scholar is included among the top collaborators of Indu Shukla 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 Indu Shukla. Indu Shukla is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Khan, Fatima, et al.. (2016). Rapid Diagnosis of Leptospirosis by IgM ELISA in Resource Poor Settings. P.. International Journal of Health Sciences and Research. 6(3). 73–79.1 indexed citations
7.
Khan, Fatima, et al.. (2015). Prevalence and Risk Factors of Candida blood Stream Infections in a Tertiary Care Hospital. International Journal of Current Microbiology and Applied Sciences. 4(8). 157–162.5 indexed citations
8.
Khan, Fatima, Meher Rizvi, Asfia Sultan, Indu Shukla, & Abida Malik. (2015). Bacterial meningitis in north India: trends in antimicrobial resistance. Annals of Pathology and Laboratory Medicine. 2(1).
Shahid, Mohd, Haris M. Khan, Farrukh Sobia, et al.. (2014). Molecular epidemiology of various antibiotics resistance genes, including blaNDM-1, in Indian environmental and clinical bacterial isolates: A comparative study. 68(1). 9.1 indexed citations
11.
Rizvi, Meher, et al.. (2014). Role of IL-8, IL-10 and TNF-α level in pathogenesis of leptospiral acute hepatitis syndrome. Annals of Pathology and Laboratory Medicine. 1(2).2 indexed citations
12.
Rizvi, Meher, et al.. (2013). Role of IL-8, IL-10, IL-12, IFN- γ and TNF- α in the Immunopathogenesis of Acute Hepatitis B Virus Infection. Journal of Gastroenterology and Hepatology Research. 2(6). 646–651.2 indexed citations
13.
Shahid, Mohammad, Farrukh Sobia, Anuradha Singh, et al.. (2012). Molecular epidemiology of carbapenem-resistant enterobacteriaceae from a north Indian tertiary hospital. 66(1). 5.10 indexed citations
14.
Sobia, Farrukh, Mohammad Shahid, Anuradha Singh, et al.. (2011). Occurrence of blaampC in Cefoxitin-resistant 'Escherichia coli' and 'Klebsiella pneumoniae' Isolates from a North Indian Tertiary Care Hospital. 65(1). 5.3 indexed citations
15.
Rizvi, Meher, et al.. (2011). Leptospirosis: an emerging disease in cryptogenic hepatitis patients in north India. 0–0.2 indexed citations
16.
Khan, Fatima, Meher Rizvi, Indu Shukla, & A Malik. (2011). A novel approach for identification of members of Enterobacteriaceae isolated from clinical samples. 0–0.8 indexed citations
17.
Kumar, Pradeep, et al.. (2011). Nasal screening of healthcare workers for nasal carriage of coagulase positive MRSA and prevalence of nasal colonization with Staphylococcus aureus. 0–0.21 indexed citations
Alam, Seema, et al.. (2009). Prevalence of Hepatitis C virus infection among children with liver disease. Current Pediatric Research. 13(1). 0.1 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.