Nelida Sjak-Shie
- Hematology top 5%
- Multiple Myeloma Research and Treatments 2
- Oncology top 10%
- Viral-associated cancers and disorders 4
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 5
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- Ubiquitin and proteasome pathways 3
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- Cutaneous lymphoproliferative disorders research 3
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- Cytomegalovirus and herpesvirus research 3
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- T-cell and Retrovirus Studies 2
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- Parvovirus B19 Infection Studies 2
- Co-authors
- Robert VescioJames R. BerensonKimberly M. ParkerCibby Varkey AltamiranoHans MarkEvanthia T. Roussos TorresMalka FrantzenMitesh J. Borad
- Partner nations
- United StatesPolandChina
In The Last Decade
Nelida Sjak-Shie
16 papers receiving 575 citations
Peers
Comparison fields: 5 of 61
- Hematology 295
- Oncology 244
- Pathology and Forensic Medicine 115
- Molecular Biology 367
- Cancer Research 75
Countries citing papers authored by Nelida Sjak-Shie
This map shows the geographic impact of Nelida Sjak-Shie'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 Nelida Sjak-Shie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nelida Sjak-Shie more than expected).
Fields of papers citing papers by Nelida Sjak-Shie
This network shows the impact of papers produced by Nelida Sjak-Shie. 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 Nelida Sjak-Shie. The network helps show where Nelida Sjak-Shie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nelida Sjak-Shie, 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 | 2013 | 47 | |
| 2 | 2010 | 20 | |
| 3 | 2007 | 13 | |
| 4 | 2007 | 2 | |
| 5 | 2006 | 6 | |
| 6 | 2006 | 24 | |
| 7 | The proteasome inhibitor PS-341 markedly enhances sensitivity of multiple myeloma tumor cells to chemotherapeutic agents. | 2003 | 342 |
| 8 | 2002 | 30 | |
| 9 | 2000 | 9 | |
| 10 | 2000 | 16 | |
| 11 | 2000 | 11 | |
| 12 | Human herpesvirus 8 open reading frame 26 and open reading frame 65 sequences from multiple myeloma patients: a shared pattern not found in Kaposi's sarcoma or primary effusion lymphoma. | 2000 | 11 |
| 13 | 1999 | 11 | |
| 14 | 1999 | 12 | |
| 15 | 1993 | 16 | |
| 16 | 1988 | 26 |
About Nelida Sjak-Shie
Nelida Sjak-Shie is a scholar working on Dermatology, Pathology and Forensic Medicine and Hematology, having authored 16 papers that have together received 596 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Viral-associated cancers and disorders (4 papers), Cutaneous lymphoproliferative disorders research (3 papers), Ubiquitin and proteasome pathways (3 papers), Cytomegalovirus and herpesvirus research (3 papers), T-cell and Retrovirus Studies (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Parvovirus B19 Infection Studies (2 papers). The work is most often cited by research in Hematology (295 citations), Oncology (244 citations) and Pathology and Forensic Medicine (115 citations). Nelida Sjak-Shie has collaborated with scholars based in United States, Poland and China. Frequent co-authors include Robert Vescio, James R. Berenson, Kimberly M. Parker, Cibby Varkey Altamirano, Hans Mark, Evanthia T. Roussos Torres, Malka Frantzen, Mitesh J. Borad, Julian Adams and Hank H. Yang. Their work appears in journals such as Journal of Clinical Oncology, Blood and Brain Research.
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.