Sheetal Middha

803 citations
22 papers · 612 · h-index 12

Impact in

Papers in

Sheetal Middha

22 papers receiving 586 citations

Peers

Sheetal Middha
Comparison fields: 5 of 63
  • Public Health, Environmental and Occupational Health 411
  • Parasitology 93
  • Pharmacology 29
  • Virology 14
  • Immunology 63
Replace Shilpi Garg with:
Shilpi Garg India
Hanno Schoeler Germany
Daniel Rigomier France
Pamela Orjuela-Sánchez United States
Carole Dumas Canada
Takeshi Annoura Japan
David L. Gillett Australia
Nilmar Silvio Moretti Brazil
Julieta Ruiz-Esmenjaud Mexico
Alexsandro Sobreira Galdino Brazil
Sheetal Middha relative to Shilpi Garg India Shilpi Garg's profile →
Citations per field
00.5×1.5×
Shilpi Garg · 1×
Citations per year

Countries citing papers authored by Sheetal Middha

Since Specialization
Citations

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

Fields of papers citing papers by Sheetal Middha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008117
2 2010117
3 201070
4 201144
5 200940
6 201140
7 201432
8 201127
9 201324
10 201321
11 201519
12 201411
13 201311
14 20158
15 20128
16 20166
17
Acute attack of AIP (acute intermittent porphyria) with severe vivax malaria associated with convulsions: a case report.
20096
18 20144
19 20143
20 20162

About Sheetal Middha

Sheetal Middha is a scholar working on Public Health, Environmental and Occupational Health, Immunology, Infectious Diseases, Molecular Biology and Parasitology, having authored 22 papers that have together received 612 indexed citations. Recurring topics across this work include Malaria Research and Control (18 papers), Mosquito-borne diseases and control (7 papers), Invertebrate Immune Response Mechanisms (4 papers), Vector-borne infectious diseases (4 papers), Aquaculture disease management and microbiota (4 papers), Viral Infections and Vectors (3 papers), vaccines and immunoinformatics approaches (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (411 citations), Parasitology (93 citations), Pharmacology (29 citations), Virology (14 citations) and Immunology (63 citations). Sheetal Middha has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Sanjay Kumar Kochar, Jyoti Acharya, Dhanpat Kumar Kochar, Deepak Pakalapati, Ashis Das, Abhishek Kochar, Gajanand Singh Tanwar, Shilpi Garg, Amit Kumar Subudhi and Vishal Saxena. Their work appears in journals such as Platelets, Infection Genetics and Evolution, PROTEOMICS - CLINICAL APPLICATIONS, Experimental Parasitology and American Journal of Tropical Medicine and Hygiene.

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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