Nisha Shah
- Molecular Biology
- Immunology
- Hematology top 5%
- Oncology
- Public Health, Environmental and Occupational Health
- Co-authors
- Tucker W. LeBienDiane F. JelinekDaniel D. BilladeauBrian Van NessAngela Panoskaltsis‐MortariAnna BajerWen-Kai WengLeAnn Oseth
- Topics
- Immune Cell Function and Interaction (6 papers)Acute Lymphoblastic Leukemia research (6 papers)T-cell and B-cell Immunology (5 papers)
- Partner nations
- United StatesFranceNetherlands
In The Last Decade
Nisha Shah
17 papers receiving 495 citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 230
- Immunology 207
- Hematology 174
- Oncology 143
- Public Health, Environmental and Occupational Health 61
Countries citing papers authored by Nisha Shah
This map shows the geographic impact of Nisha Shah'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 Nisha Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nisha Shah more than expected).
Fields of papers citing papers by Nisha Shah
This network shows the impact of papers produced by Nisha Shah. 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 Nisha Shah. The network helps show where Nisha Shah may publish in the future.
Co-authorship network of co-authors of Nisha Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Nisha Shah. A scholar is included among the top collaborators of Nisha Shah 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 Nisha Shah. Nisha Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 25 | |
| 4 | 44 | |
| 5 | 33 | |
| 6 | 56 | |
| 7 | 16 | |
| 8 | 8 | |
| 9 | Clonal variation in the B-lineage acute lymphoblastic leukemia response to multiple cytokines and bone marrow stromal cells. | 9 |
| 10 | 25 | |
| 11 | 45 | |
| 12 | 32 | |
| 13 | 27 | |
| 14 | 15 | |
| 15 | Activating mutations in the N- and K-ras oncogenes differentially affect the growth properties of the IL-6-dependent myeloma cell line ANBL6. | 47 |
| 16 | Introduction of an activated N-ras oncogene alters the growth characteristics of the interleukin 6-dependent myeloma cell line ANBL6. | 87 |
| 17 | 30 | |
| 18 | 1 |
About Nisha Shah
Nisha Shah is a scholar working on Hematology, Immunology and Virology, having authored 18 papers that have together received 503 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Acute Lymphoblastic Leukemia research (6 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Hematology (174 citations), Immunology (207 citations) and Immunology and Allergy (32 citations). Nisha Shah has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Tucker W. LeBien, Diane F. Jelinek, Daniel D. Billadeau, Brian Van Ness, Angela Panoskaltsis‐Mortari, Anna Bajer, Wen-Kai Weng, LeAnn Oseth, Brian G. Van Ness and F. E. Bertrand. Their work appears in journals such as Blood, The Journal of Immunology and Cancer 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.