Sissy Peterman
Impact in
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
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- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 16
- Chronic Lymphocytic Leukemia Research 16
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- Lymphoma Diagnosis and Treatment 9
- Co-authors
- Steven Coutré (15 shared papers)Nina D. Wagner‐Johnston (13 shared papers)Ian W. Flinn (13 shared papers)Albert S. Yu (9 shared papers)Stephen E. Spurgeon (12 shared papers)Richard R. Furman (9 shared papers)Brad S. Kahl (9 shared papers)Jennifer R. Brown (11 shared papers)
- Partner nations
- United StatesPolandFrance
In The Last Decade
Sissy Peterman
16 papers receiving 1.3k citations
Sissy Peterman's Hit Papers
Peers
Comparison fields: 5 of 42
- Genetics 984
- Pathology and Forensic Medicine 722
- Hematology 236
- Immunology 288
- Oncology 251
Countries citing papers authored by Sissy Peterman
This map shows the geographic impact of Sissy Peterman'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 Sissy Peterman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sissy Peterman more than expected).
Fields of papers citing papers by Sissy Peterman
This network shows the impact of papers produced by Sissy Peterman. 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 Sissy Peterman. The network helps show where Sissy Peterman may publish in the future.
Co-authors
The 25 scholars most cited alongside Sissy Peterman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Idelalisib, an inhibitor of phosphatidylinositol 3-kinase p110δ, for relapsed/refractory chronic lymphocytic leukemia Hit paper breakdown → | 2014 | 470 |
| 2 | 2014 | 201 | |
| 3 | 2014 | 167 | |
| 4 | 2010 | 100 | |
| 5 | 2010 | 91 | |
| 6 | 2011 | 60 | |
| 7 | 2013 | 37 | |
| 8 | 2010 | 24 | |
| 9 | 2015 | 19 | |
| 10 | 2011 | 18 | |
| 11 | 2013 | 17 | |
| 12 | 2010 | 16 | |
| 13 | 2013 | 14 | |
| 14 | 2016 | 13 | |
| 15 | 2013 | 12 | |
| 16 | 2015 | 4 |
About Sissy Peterman
Sissy Peterman is a scholar working on Genetics, Pathology and Forensic Medicine, Molecular Biology, Pulmonary and Respiratory Medicine and Immunology, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (16 papers), Lymphoma Diagnosis and Treatment (9 papers), Advanced Breast Cancer Therapies (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Cutaneous lymphoproliferative disorders research (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Genetics (984 citations), Pathology and Forensic Medicine (722 citations), Hematology (236 citations), Immunology (288 citations) and Oncology (251 citations). Sissy Peterman has collaborated with scholars based in United States, Poland and France. Frequent co-authors include Steven Coutré, Nina D. Wagner‐Johnston, Ian W. Flinn, Albert S. Yu, Stephen E. Spurgeon, Richard R. Furman, Brad S. Kahl, Jennifer R. Brown, Don M. Benson and Roger G. Ulrich. Their work appears in journals such as Journal of Clinical Oncology and Blood.
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.