Neelam Sachdeva

13 papers receiving 590 citations

Neelam Sachdeva's Hit Papers

A multicentre study of antifungal susceptibility patterns among 350 Candida auris isolates (2009–17) in India: role of the ERG11 and FKS1 genes in azole and echinocandin resistance 2017 · 421 citations
4210+3+6Years since publication100200300400

Peers

Neelam Sachdeva
Comparison fields: 5 of 64
  • Infectious Diseases 512
  • Applied Microbiology and Biotechnology 33
  • Epidemiology 419
  • Molecular Medicine 36
  • Clinical Biochemistry 36
Replace Indira Berrío with:
Indira Berrío Colombia
Shalini Upadhyay India
Smita Sarma India
Carol B. Bolden United States
Inaam Al‐Obaid Kuwait
Jelena Catania United States
Elia Gómez G. de la Pedrosa Spain
Maria Siopi Greece
Frieder Fuchs Germany
Min Ji Choi South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Neelam Sachdeva

Since Specialization
Citations

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

Fields of papers citing papers by Neelam Sachdeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Neelam Sachdeva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Neelam Sachdeva Line = papers co-authored together Neelam Sachdeva links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
A multicentre study of antifungal susceptibility patterns among 350 Candida auris isolates (2009–17) in India: role of the ERG11 and FKS1 genes in azole and echinocandin resistance
Hit paper breakdown →
2017421
2 201959
3 201846
4 201425
5 201415
6 20239
7 20168
8 20236
9 19994
10 20203
11 20251
12 20221
13 20231

About Neelam Sachdeva

Neelam Sachdeva is a scholar working on Epidemiology, Infectious Diseases, Oncology, Molecular Medicine and Clinical Biochemistry, having authored 13 papers that have together received 599 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (6 papers), Fungal Infections and Studies (6 papers), Neutropenia and Cancer Infections (4 papers), Antibiotic Resistance in Bacteria (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Antibiotic Use and Resistance (2 papers), Plant Pathogens and Fungal Diseases (2 papers) and Seismic Imaging and Inversion Techniques (1 paper). The work is most often cited by research in Infectious Diseases (512 citations), Applied Microbiology and Biotechnology (33 citations), Epidemiology (419 citations), Molecular Medicine (36 citations) and Clinical Biochemistry (36 citations). Neelam Sachdeva has collaborated with scholars based in India, Netherlands and United States. Frequent co-authors include Anuradha Chowdhary, Ashutosh Singh, Bansidhar Tarai, Anil Kumar, Smita Sarma, Jacques F. Meis, Pradeep Kumar Singh, Vikas Khillan, David S. Perlin and Priyanka Yadav. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Mycoses, Antimicrobial Agents and Chemotherapy, Open Forum Infectious Diseases and Indian Journal of Pharmaceutical Sciences.

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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