Rachel Ostroff
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Genetics top 10%
- Epidemiology
- Biomedical Engineering
- Co-authors
- Michael L. VasilAdriana I. VasilStephen A. WilliamsEdward N. BrodyBengt WretlindLarry GoldDom ZichiJeffrey J. Walker
- Topics
- Advanced biosensing and bioanalysis techniques (10 papers)Biosensors and Analytical Detection (9 papers)Advanced Proteomics Techniques and Applications (8 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Rachel Ostroff
48 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 910
- Pulmonary and Respiratory Medicine 218
- Genetics 203
- Epidemiology 189
- Biomedical Engineering 189
Countries citing papers authored by Rachel Ostroff
This map shows the geographic impact of Rachel Ostroff'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 Rachel Ostroff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Ostroff more than expected).
Fields of papers citing papers by Rachel Ostroff
This network shows the impact of papers produced by Rachel Ostroff. 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 Rachel Ostroff. The network helps show where Rachel Ostroff may publish in the future.
Co-authorship network of co-authors of Rachel Ostroff
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Ostroff. A scholar is included among the top collaborators of Rachel Ostroff 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 Rachel Ostroff. Rachel Ostroff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 6 | |
| 3 | 48 | |
| 4 | 26 | |
| 5 | 0 | |
| 6 | 44 | |
| 7 | 69 | |
| 8 | 65 | |
| 9 | 25 | |
| 10 | Abstract 17082: Translation From Highly Multiplexed Biomarker Discovery to a Targeted Protein Panel to Stratify Cardiovascular Risk in Patients With Coronary Heart Disease | 1 |
| 11 | 35 | |
| 12 | 5 | |
| 13 | 70 | |
| 14 | 1 | |
| 15 | 55 | |
| 16 | 163 | |
| 17 | 58 | |
| 18 | 14 | |
| 19 | 26 | |
| 20 | 21 |
About Rachel Ostroff
Rachel Ostroff is a scholar working on Endocrinology, Spectroscopy and Molecular Biology, having authored 49 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (10 papers), Biosensors and Analytical Detection (9 papers) and Advanced Proteomics Techniques and Applications (8 papers). The work is most often cited by research in Endocrinology (104 citations), Molecular Medicine (94 citations) and Molecular Biology (910 citations). Rachel Ostroff has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Michael L. Vasil, Adriana I. Vasil, Stephen A. Williams, Edward N. Brody, Bengt Wretlind, Larry Gold, Dom Zichi, Jeffrey J. Walker, Michael R. Mehan and Harvey I. Pass. Their work appears in journals such as Circulation, Nature Medicine and Nature Communications.
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.