Lisa Riffle

640 citations
16 papers · 478 indexed · 1 hit paper · h-index 9
Topics
Radiomics and Machine Learning in Medical Imaging (3 papers)Radiopharmaceutical Chemistry and Applications (3 papers)Nanoplatforms for cancer theranostics (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENature Methods

In The Last Decade

Lisa Riffle

16 papers receiving 473 citations

Hit Papers

Targeted multicolor in vivo imaging over 1,000 nm enabled...202220262023202420224080120

Peers

Lisa Riffle
Comparison fields: 5 of 94
  • Molecular Biology 169
  • Biomedical Engineering 148
  • Materials Chemistry 103
  • Radiology, Nuclear Medicine and Imaging 90
  • Pediatrics, Perinatology and Child Health 89
Replace Sandra D. Scherer with:
Sandra D. Scherer United States
Lifeng Tian China
Catherine Vayssettes France
Tamás Kovács Hungary
Maddalena Mognato Italy
Erica Markiewicz United States
Paula A. Schueler United States
Lucia Celotti Italy
Lisa Riffle relative to Sandra D. Scherer United States Sandra D. Scherer's profile →
Citations per field
00.5×3.2×
Sandra D. Scherer · 1×
Citations per year

Countries citing papers authored by Lisa Riffle

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Riffle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Riffle

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Riffle. A scholar is included among the top collaborators of Lisa Riffle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lisa Riffle. Lisa Riffle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 4
2 1
3 2
4
Targeted multicolor in vivo imaging over 1,000 nm enabled by nonamethine cyaninesbreakdown →
139
5 14
6 7
7 6
8 12
9 27
10 52
11 2
12
Murine biodistribution and human dosimetry estimates of 111In DTPA- and 89Zr DFO-panitumumab
1
13 10
14 29
15 37
16 135

About Lisa Riffle

Lisa Riffle is a scholar working on Radiology, Nuclear Medicine and Imaging, Biotechnology and Oncology, having authored 16 papers that have together received 478 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (89 citations), Radiology, Nuclear Medicine and Imaging (90 citations) and Aging (6 citations). Lisa Riffle has collaborated with scholars based in United States, Malaysia and Germany. Frequent co-authors include Ralph E. Wilson, Lucy M. Anderson, W. Gregory Alvord, Gregory S. Travlos, Joseph D. Kalen, Nimit L. Patel, Lilia Ileva, Marcelino Bernardo, Sibaprasad Bhattacharyya and Paula Jacobs. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nature Methods.

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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2026