Ingrid K. Ruf
- Molecular Biology top 2%
- Cancer Research top 0.2%
- Oncology top 5%
- Immunology top 5%
- Biomedical Engineering top 10%
- Co-authors
- Muneesh TewariJohn R. ChevilletEra L. Pogosova‐AgadjanyanJason D. ArroyoDerek L. StirewaltChristopher F. BennettJonathan F. TaitPatrick S. Mitchell
- Topics
- Viral-associated cancers and disorders (14 papers)Lymphoma Diagnosis and Treatment (11 papers)Eosinophilic Disorders and Syndromes (4 papers)
- Partner nations
- United StatesIndiaBulgaria
In The Last Decade
Ingrid K. Ruf
18 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 3.9k
- Cancer Research 3.1k
- Oncology 766
- Immunology 506
- Biomedical Engineering 438
Countries citing papers authored by Ingrid K. Ruf
This map shows the geographic impact of Ingrid K. Ruf'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 Ingrid K. Ruf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingrid K. Ruf more than expected).
Fields of papers citing papers by Ingrid K. Ruf
This network shows the impact of papers produced by Ingrid K. Ruf. 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 Ingrid K. Ruf. The network helps show where Ingrid K. Ruf may publish in the future.
Co-authorship network of co-authors of Ingrid K. Ruf
This figure shows the co-authorship network connecting the top 25 collaborators of Ingrid K. Ruf. A scholar is included among the top collaborators of Ingrid K. Ruf 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 Ingrid K. Ruf. Ingrid K. Ruf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Quantitative and stoichiometric analysis of the microRNA content of exosomesbreakdown → | 883 |
| 2 | Absolute quantification by droplet digital PCR versus analog real-time PCRbreakdown → | 1153 |
| 3 | Argonaute2 complexes carry a population of circulating microRNAs independent of vesicles in human plasmabreakdown → | 2675 |
| 4 | 2 | |
| 5 | 23 | |
| 6 | 55 | |
| 7 | 49 | |
| 8 | 18 | |
| 9 | 13 | |
| 10 | 85 | |
| 11 | 129 | |
| 12 | 101 | |
| 13 | 14 | |
| 14 | 30 | |
| 15 | 26 | |
| 16 | 64 | |
| 17 | 27 | |
| 18 | 116 |
About Ingrid K. Ruf
Ingrid K. Ruf is a scholar working on Pathology and Forensic Medicine, Oncology and Rheumatology, having authored 18 papers that have together received 5.5k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (14 papers), Lymphoma Diagnosis and Treatment (11 papers) and Eosinophilic Disorders and Syndromes (4 papers). The work is most often cited by research in Cancer Research (3.1k citations), Molecular Biology (3.9k citations) and Oncology (766 citations). Ingrid K. Ruf has collaborated with scholars based in United States, India and Bulgaria. Frequent co-authors include Muneesh Tewari, John R. Chevillet, Era L. Pogosova‐Agadjanyan, Jason D. Arroyo, Derek L. Stirewalt, Christopher F. Bennett, Jonathan F. Tait, Patrick S. Mitchell, Colin C. Pritchard and Donald Gibson. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Molecular and Cellular Biology.
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.