Anusri Pampari

715 citations
10 papers · 183 · h-index 6

Impact in

Papers in

    • Genomics and Chromatin Dynamics 6
    • Single-cell and spatial transcriptomics 2
    • RNA and protein synthesis mechanisms 2
    • RNA Research and Splicing 2
    • Patient Satisfaction in Healthcare 1

Anusri Pampari

10 papers receiving 176 citations

Peers

Anusri Pampari
Comparison fields: 5 of 51
  • Health Informatics 8
  • Artificial Intelligence 82
  • Family Practice 4
  • Aging 3
  • Biophysics 9
Replace Farida Zehraoui with:
Farida Zehraoui France
C. Wolfe United States
Oindrila Saha United States
CJ Barberan United States
Dewei Hu United States
Matteo Gnocchi Italy
Jay DeYoung United States
Irina Balaur Luxembourg
Jacqueline Peng United States
Γεώργιος Παπουτσόγλου Greece
Anusri Pampari relative to Farida Zehraoui France Farida Zehraoui's profile →
Citations per field
00.5×
Farida Zehraoui · 1×
Citations per year

Countries citing papers authored by Anusri Pampari

Since Specialization
Citations

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

Fields of papers citing papers by Anusri Pampari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201887
2 202238
3 202327
4 20247
5 20256
6 20255
7 20215
8 20223
9 20193
10 20252

About Anusri Pampari

Anusri Pampari is a scholar working on Molecular Biology, General Health Professions, Information Systems, Ophthalmology and Artificial Intelligence, having authored 10 papers that have together received 183 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Single-cell and spatial transcriptomics (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA Research and Splicing (2 papers), Plant Molecular Biology Research (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Natural Language Processing Techniques (1 paper) and Patient Satisfaction in Healthcare (1 paper). The work is most often cited by research in Health Informatics (8 citations), Artificial Intelligence (82 citations), Family Practice (4 citations), Aging (3 citations) and Biophysics (9 citations). Anusri Pampari has collaborated with scholars based in United States and Canada. Frequent co-authors include Jian Peng, Jennifer J. Liang, Preethi Raghavan, Anshul Kundaje, Katerina Kraft, Surag Nair, Sean K. Wang, Howard Y. Chang, Rui Li and Joyce B. Kang. Their work appears in journals such as Cell Genomics, Nature Genetics, Journal of Medical Systems, Science Advances and Nature.

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.

Explore authors with similar magnitude of impact