Rameshwar Patil

2.0k citations
35 papers · 1.2k indexed · h-index 20

Impact in

    • Nanoparticle-Based Drug Delivery
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

Rameshwar Patil

35 papers receiving 1.2k citations

Peers

Rameshwar Patil
Comparison fields: 5 of 105
  • Biomaterials 567
  • Genetics 109
  • Biomedical Engineering 433
  • Molecular Biology 493
  • Pharmaceutical Science 42
Replace José Portilla‐Arias with:
José Portilla‐Arias United States
Arthur Rekechenetskiy United States
Susanne K. Golombek Germany
Fan Tong China
Kayvan Sadri Iran
Nolwenn Lautram France
Jinfeng Ren China
Yaobao Han China
Chih‐Sheng Chiang Taiwan
Rou Xie China
Rameshwar Patil relative to José Portilla‐Arias United States José Portilla‐Arias's profile →
Citations per field
00.5×2.7×
José Portilla‐Arias · 1×
Citations per year

Countries citing papers authored by Rameshwar Patil

Since Specialization
Citations

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

Fields of papers citing papers by Rameshwar Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202410
2 20246
3 202225
4 202019
5 201855
6 201642
7 201631
8 201418
9 201344
10 201245
11 201226
12 201148
13 201118
14 201152
15 201026
16 201074
17 201045
18 2010130
19 200759
20 20053

About Rameshwar Patil

Rameshwar Patil is a scholar working on Biomaterials, Genetics, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Molecular Biology, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (17 papers), RNA Interference and Gene Delivery (13 papers), Nanoplatforms for cancer theranostics (9 papers), Advanced biosensing and bioanalysis techniques (7 papers), Glioma Diagnosis and Treatment (6 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Lipid Membrane Structure and Behavior (3 papers) and Graphene and Nanomaterials Applications (3 papers). The work is most often cited by research in Biomaterials (567 citations), Genetics (109 citations), Biomedical Engineering (433 citations), Molecular Biology (493 citations) and Pharmaceutical Science (42 citations). Rameshwar Patil has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Julia Y. Ljubimova, Keith L. Black, Eggehard Holler, Hui Ding, José Portilla‐Arias, Bindu Konda, Satoshi Inoue, Alexander V. Ljubimov, Jinwei Hu and Kolja Wawrowsky. Their work appears in journals such as Cancer Research, Biomaterials, Macromolecular Bioscience, ACS Nano and International Journal of Molecular Sciences.

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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