Heta Parmar

858 citations
6 papers · 107 · h-index 6

Impact in

    • Tuberculosis Research and Epidemiology
    • Viral Infections and Vectors
    • Mycobacterium research and diagnosis
    • Pneumonia and Respiratory Infections
    • Cervical Cancer and HPV Research

Papers in

    • Mycobacterium research and diagnosis 3
    • Pneumonia and Respiratory Infections 1
    • Cervical Cancer and HPV Research 1
    • Tuberculosis Research and Epidemiology 3

Heta Parmar

6 papers receiving 106 citations

Peers

Heta Parmar
Comparison fields: 5 of 25
  • Infectious Diseases 86
  • Epidemiology 50
  • Parasitology 5
  • General Dentistry 1
  • Molecular Medicine 3
Replace Tatiana Cáceres with:
Tatiana Cáceres Peru
Korkut Avsar Germany
Luz Helena Gutierrez Sanchez United States
Renata Sindeaux Brazil
Winai Ratanasuwan Thailand
Cynthia Bin-Eng Chee Singapore
Marieta van der Vyver Uganda
Reem Al-Mubarak United States
Misikir Amare Ethiopia
Andrii Dudnyk Ukraine
Heta Parmar relative to Tatiana Cáceres Peru Tatiana Cáceres's profile →
Citations per field
00.5×
Tatiana Cáceres · 1×
Citations per year

Countries citing papers authored by Heta Parmar

Since Specialization
Citations

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

Fields of papers citing papers by Heta Parmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Heta Parmar, 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 Heta Parmar Line = papers co-authored together Heta Parmar links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 202060
2 202112
3 202212
4 201910
5 20207
6 20176

About Heta Parmar

Heta Parmar is a scholar working on Epidemiology, Infectious Diseases, Surgery, Molecular Biology and Soil Science, having authored 6 papers that have together received 107 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers), Leptospirosis research and findings (1 paper), Humic Substances and Bio-Organic Studies (1 paper), Diagnosis and treatment of tuberculosis (1 paper), Pneumonia and Respiratory Infections (1 paper), Cervical Cancer and HPV Research (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (86 citations), Epidemiology (50 citations), Parasitology (5 citations), General Dentistry (1 citation) and Molecular Medicine (3 citations). Heta Parmar has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include David Alland, David H. Persing, Robert Kwiatkowski, Sophia B. Georghiou, Claudia M. Denkinger, Soumitesh Chakravorty, Simone Battaglia, Rajiv L. Gaur, Daniela María Cirillo and Kevin Jacob. Their work appears in journals such as Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease, BMC Infectious Diseases, The Journal of Applied Laboratory Medicine and International Journal of Current Microbiology and Applied 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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