Lydia Usha

800 citations
39 papers · 296 · h-index 9

Impact in

    • PARP inhibition in cancer therapy
    • HER2/EGFR in Cancer Research
    • Cancer-related Molecular Pathways
    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies

Papers in

    • PARP inhibition in cancer therapy 10
    • HER2/EGFR in Cancer Research 4
    • Cancer-related Molecular Pathways 4
    • BRCA gene mutations in cancer 11

Lydia Usha

34 papers receiving 290 citations

Peers

Lydia Usha
Comparison fields: 5 of 60
  • Oncology 150
  • Cancer Research 82
  • Reproductive Medicine 34
  • Pathology and Forensic Medicine 44
  • Pulmonary and Respiratory Medicine 68
Replace Betül T. Yesilyurt with:
Betül T. Yesilyurt Belgium
Katrin Almstedt Germany
K. Hoekman Netherlands
Gabriele Rieck Germany
Bárbara Alemar Brazil
Mohamad Kassar United States
Sandeep Kumar Parvathareddy Saudi Arabia
Ettie Piura Israel
YounJeong Choi United States
Mariko Sasaki Japan
Lydia Usha relative to Betül T. Yesilyurt Belgium Betül T. Yesilyurt's profile →
Citations per field
00.5×1.5×
Betül T. Yesilyurt · 1×
Citations per year

Countries citing papers authored by Lydia Usha

Since Specialization
Citations

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

Fields of papers citing papers by Lydia Usha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201949
2 201146
3 201428
4 201222
5 201819
6 200719
7 201313
8 202111
9 201711
10 20158
11 20197
12 20176
13 20085
14 20145
15 20215
16 20205
17 20164
18
Hereditary inflammatory breast cancer associated with BRCA2 mutation: a rare disease presentation in mother and daughter.
20124
19 20213
20 20133

About Lydia Usha

Lydia Usha is a scholar working on Oncology, Genetics, Cancer Research, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 39 papers that have together received 296 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (11 papers), PARP inhibition in cancer therapy (10 papers), Cancer Genomics and Diagnostics (7 papers), Breast Cancer Treatment Studies (5 papers), Advanced Breast Cancer Therapies (5 papers), HER2/EGFR in Cancer Research (4 papers), Ovarian cancer diagnosis and treatment (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Oncology (150 citations), Cancer Research (82 citations), Reproductive Medicine (34 citations), Pathology and Forensic Medicine (44 citations) and Pulmonary and Respiratory Medicine (68 citations). Lydia Usha has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Melody Cobleigh, Ruta Rao, Akansha Chowdhary, Kirtesh R. Patel, Dian Wang, Neilayan Sen, Parul Barry, Mudit Chowdhary, Lela Buckingham and Xiulong Xu. Their work appears in journals such as Journal of Clinical Oncology, Journal of the National Comprehensive Cancer Network, Cancer Research, The Oncologist and PLoS ONE.

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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