Marla Pyle

1.4k citations
32 papers · 1.2k · h-index 18

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Nanoparticle-Based Drug Delivery

Papers in

    • RNA Interference and Gene Delivery 8
    • Advanced biosensing and bioanalysis techniques 4
    • Nanoplatforms for cancer theranostics 4
    • Ultrasound and Hyperthermia Applications 4

Marla Pyle

32 papers receiving 1.1k citations

Peers

Marla Pyle
Comparison fields: 5 of 116
  • Genetics 336
  • Biomaterials 318
  • Oncology 228
  • Biomedical Engineering 378
  • Cancer Research 107
Replace Raviraja N. Seetharam with:
Raviraja N. Seetharam India
Gabi Hanna United States
Daniel Greenwald United States
Shin‐Tai Chen United States
Youshi Zheng China
Jessica Ngai United States
Gustavo J. Melen Spain
Andrew Satterlee United States
Tingting Lin China
Szu-Chun Hsu Taiwan
Marla Pyle relative to Raviraja N. Seetharam India Raviraja N. Seetharam's profile →
Citations per field
00.5×1.5×2.1×
Raviraja N. Seetharam · 1×
Citations per year

Countries citing papers authored by Marla Pyle

Since Specialization
Citations

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

Fields of papers citing papers by Marla Pyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marla Pyle, 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 Marla Pyle Line = papers co-authored together Marla Pyle 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 2010198
2 2009118
3 2009105
4 201081
5 201074
6 201562
7 201259
8 200854
9 201249
10 201239
11 201035
12 201034
13 201232
14 201327
15 201727
16 201526
17 201718
18 200817
19 201316
20 201116

About Marla Pyle

Marla Pyle is a scholar working on Molecular Biology, Biomedical Engineering, Biomaterials, Genetics and Oncology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Mesenchymal stem cell research (6 papers), Nanoparticle-Based Drug Delivery (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Nanoplatforms for cancer theranostics (4 papers), Virus-based gene therapy research (4 papers), Ultrasound and Hyperthermia Applications (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Genetics (336 citations), Biomaterials (318 citations), Oncology (228 citations), Biomedical Engineering (378 citations) and Cancer Research (107 citations). Marla Pyle has collaborated with scholars based in United States, Czechia and Ireland. Frequent co-authors include Deryl Troyer, Masaaki Tamura, Stefan H. Bossmann, Raja Shekar Rachakatla, Chiyo Doi, Sivasai Balivada, Rie Ayuzawa, Dharmendra Kumar Maurya, Tej B. Shrestha and Hongwang Wang. Their work appears in journals such as Cytotherapy, BMC Cancer, International Journal of Hyperthermia, ACS Applied Bio Materials and Cancer Letters.

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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