Jennifer Shoemaker
- Molecular Biology
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Pathology and Forensic Medicine top 10%
- Oncology
- Co-authors
- Robert NadonLloyd H. KasperW M FitchB. S. WeirRosana DelceloJanete M. CeruttiGregory J. RigginsRui M. B. Maciel
- Topics
- Multiple Sclerosis Research Studies (4 papers)Thyroid Cancer Diagnosis and Treatment (4 papers)Gene expression and cancer classification (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of Clinical Oncology
- Partner nations
- United StatesBrazilPoland
In The Last Decade
Jennifer Shoemaker
18 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 132
- Molecular Biology 683
- Genetics 254
- Endocrinology, Diabetes and Metabolism 181
- Pathology and Forensic Medicine 173
- Oncology 125
Countries citing papers authored by Jennifer Shoemaker
This map shows the geographic impact of Jennifer Shoemaker'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 Jennifer Shoemaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Shoemaker more than expected).
Fields of papers citing papers by Jennifer Shoemaker
This network shows the impact of papers produced by Jennifer Shoemaker. 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 Jennifer Shoemaker. The network helps show where Jennifer Shoemaker may publish in the future.
Co-authorship network of co-authors of Jennifer Shoemaker
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Shoemaker. A scholar is included among the top collaborators of Jennifer Shoemaker 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 Jennifer Shoemaker. Jennifer Shoemaker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Intranasal corticosteroids for acute bacterial sinusitis. | 0 |
| 2 | 24 | |
| 3 | 35 | |
| 4 | 30 | |
| 5 | 132 | |
| 6 | 36 | |
| 7 | 3 | |
| 8 | 52 | |
| 9 | 43 | |
| 10 | 3 | |
| 11 | 28 | |
| 12 | 153 | |
| 13 | 16 | |
| 14 | 208 | |
| 15 | 235 | |
| 16 | 113 | |
| 17 | 57 | |
| 18 | A Qualitative Comparison of Total Cellular DNA Extraction Protocols | 67 |
| 19 | 83 |
About Jennifer Shoemaker
Jennifer Shoemaker is a scholar working on Hematology, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (181 citations), Molecular Biology (683 citations) and Pathology and Forensic Medicine (173 citations). Jennifer Shoemaker has collaborated with scholars based in United States, Brazil and Poland. Frequent co-authors include Robert Nadon, Lloyd H. Kasper, W M Fitch, B. S. Weir, Rosana Delcelo, Janete M. Cerutti, Gregory J. Riggins, Rui M. B. Maciel, Cláudia C. D. Nakabashi and Bercedis L. Peterson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.