Usha Gutti

851 citations
21 papers · 640 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Lysosomal Storage Disorders Research
    • Alzheimer's disease research and treatments

Papers in

Usha Gutti

21 papers receiving 633 citations

Peers

Usha Gutti
Comparison fields: 5 of 67
  • Cancer Research 161
  • Physiology 153
  • Hematology 61
  • Neurology 62
  • Cell Biology 70
Replace Luca Simula with:
Luca Simula France
Mingqiang Ren United States
Anthony O. Fedele Australia
Pushpankur Ghoshal United States
Álvaro Gutiérrez-Uzquiza Spain
Franz M. Hess Germany
Patrycja Przygodzka Poland
K Ii Japan
Ami Tamir Israel
Meredith A. Steeves United States
Usha Gutti relative to Luca Simula France Luca Simula's profile →
Citations per field
00.5×10×15×18.5×
Luca Simula · 1×
Citations per year

Countries citing papers authored by Usha Gutti

Since Specialization
Citations

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

Fields of papers citing papers by Usha Gutti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011181
2 200787
3 201358
4 201048
5 200940
6 201635
7 201528
8 201524
9 201623
10 201716
11 201815
12 201815
13 201413
14 201511
15 200610
16 20168
17 20188
18 20167
19 20157
20 20185

About Usha Gutti

Usha Gutti is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Hematology, Cancer Research and Physiology, having authored 21 papers that have together received 640 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (5 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Cystic Fibrosis Research Advances (3 papers), Cancer-related gene regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Lysosomal Storage Disorders Research (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Cancer Research (161 citations), Physiology (153 citations), Hematology (61 citations), Neurology (62 citations) and Cell Biology (70 citations). Usha Gutti has collaborated with scholars based in India and United States. Frequent co-authors include Ravi Kumar Gutti, Roopa Biswas, Sharmistha Bhattacharyya, Ram Babu Undi, Harvey B. Pollard, Nagaraja S. Balakathiresan, Meera Srivastava, David L. Armistead, Clifton L. Dalgard and Ravinder Kandi. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Critical Reviews in Oncology/Hematology, Journal of Trace Elements in Medicine and Biology, Infectious Disorders - Drug Targets and Journal of Neuroscience.

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