Ramya Muddasani

805 citations
32 papers · 235 · h-index 9

Impact in

    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments

Papers in

Ramya Muddasani

28 papers receiving 233 citations

Peers

Ramya Muddasani
Comparison fields: 5 of 43
  • Cancer Research 80
  • Hematology 57
  • Genetics 25
  • Oncology 57
  • Pulmonary and Respiratory Medicine 62
Replace Shanbo Cao with:
Shanbo Cao China
Kota Yoshifuji Japan
Johanna Mondésir France
Albert Kheradpour United States
Xia Jin China
Keisuke Kanato Japan
Max Bittrich Germany
Maximilian Fleischmann Germany
Muriel Duluc France
Pedro Sánchez‐Godoy Spain
Ramya Muddasani relative to Shanbo Cao China Shanbo Cao's profile →
Citations per field
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Shanbo Cao · 1×
Citations per year

Countries citing papers authored by Ramya Muddasani

Since Specialization
Citations

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

Fields of papers citing papers by Ramya Muddasani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201043
2 201331
3 201322
4 201320
5 202118
6 202116
7 201315
8 202310
9 201010
10 20227
11 20186
12 20205
13 20244
14 20223
15 20153
16 20203
17 20223
18 20242
19 20212
20 20222

About Ramya Muddasani

Ramya Muddasani is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Hematology, Cancer Research and Molecular Biology, having authored 32 papers that have together received 235 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (7 papers), Cancer Genomics and Diagnostics (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Bladder and Urothelial Cancer Treatments (4 papers), Lung Cancer Treatments and Mutations (4 papers), Multiple Myeloma Research and Treatments (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Cancer Research (80 citations), Hematology (57 citations), Genetics (25 citations), Oncology (57 citations) and Pulmonary and Respiratory Medicine (62 citations). Ramya Muddasani has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include Gary Lu, Sumanta K. Pal, Zhensheng Liu, Dongfeng Tan, Alex Chehrazi‐Raffle, Li‐E Wang, Luís Meza, Ming Zhao, Zeynep Büşra Zengin and Qingyi Wei. Their work appears in journals such as Journal of Clinical Oncology, Cancers, JCO Precision Oncology, Urologic Oncology Seminars and Original Investigations and Molecular Carcinogenesis.

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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