Subhashree Parida

1.8k citations
81 papers · 1.4k · h-index 19

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 19
    • Genetic Mapping and Diversity in Plants and Animals 15
    • Receptor Mechanisms and Signaling 6

Subhashree Parida

78 papers receiving 1.4k citations

Peers

Subhashree Parida
Comparison fields: 5 of 115
  • Agronomy and Crop Science 141
  • Sensory Systems 57
  • Genetics 338
  • Infectious Diseases 203
  • Cancer Research 116
Replace Chunyan Wu with:
Chunyan Wu China
Jinxin Liu China
María A. Hidalgo Chile
Seema Saksena United States
Jianbo Wang China
Thakur Uttam Singh India
Haiqing Shen China
John G. Lamb United States
Lilly Ganju India
A Garozzo Italy
Subhashree Parida relative to Chunyan Wu China Chunyan Wu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Subhashree Parida

Since Specialization
Citations

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

Fields of papers citing papers by Subhashree Parida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020344
2 201370
3 201869
4 202166
5 201837
6 201931
7 201830
8 201729
9 201829
10 202029
11 201128
12 202227
13 202127
14 201926
15 201424
16 201423
17 201222
18 201921
19 201620
20 201518

About Subhashree Parida

Subhashree Parida is a scholar working on Genetics, Molecular Biology, Agronomy and Crop Science, Immunology and Epidemiology, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (19 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers), Reproductive Physiology in Livestock (10 papers), Reproductive System and Pregnancy (9 papers), Receptor Mechanisms and Signaling (6 papers), Cancer-related molecular mechanisms research (6 papers), Nitric Oxide and Endothelin Effects (4 papers) and Sepsis Diagnosis and Treatment (4 papers). The work is most often cited by research in Agronomy and Crop Science (141 citations), Sensory Systems (57 citations), Genetics (338 citations), Infectious Diseases (203 citations) and Cancer Research (116 citations). Subhashree Parida has collaborated with scholars based in India and Russia. Frequent co-authors include Thakur Uttam Singh, Madhu Cholenahalli Lingaraju, Manickam Kesavan, Raj Kumar Singh, Dinesh Kumar, Manjit Panigrahi, Bharat Bhushan, Santosh Kumar Mishra, Dinesh Kumar and Harshit Kumar. Their work appears in journals such as Gene, Pharmacological Reports, European Journal of Pharmacology, Theriogenology and Cytokine.

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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