Raj Sachdev
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 10%
- Mast cells and histamine
- Immune Cell Function and Interaction
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 3
- Glycosylation and Glycoproteins Research 1
- DNA Repair Mechanisms 1
-
- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Hsieng S. Lu (2 shared papers)Krisztina M. Zsebo (2 shared papers)Elizabeth A. Mendiaz (2 shared papers)Jette Wypych (2 shared papers)Keith Langley (2 shared papers)R A Bosselman (1 shared paper)Ian McNiece (1 shared paper)Linda O. Narhi (2 shared papers)
- Journals
- Journal for ImmunoTherapy of Cancer (2 papers)Journal of Clinical Oncology (1 paper)Archives of Biochemistry and Biophysics (1 paper)Cell (1 paper)Blood (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Raj Sachdev
12 papers receiving 877 citations
Raj Sachdev's Hit Papers
Peers
Comparison fields: 5 of 88
- Hematology 299
- Immunology 343
- Immunology and Allergy 86
- Genetics 116
- Genetics 171
Countries citing papers authored by Raj Sachdev
This map shows the geographic impact of Raj Sachdev'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 Raj Sachdev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raj Sachdev more than expected).
Fields of papers citing papers by Raj Sachdev
This network shows the impact of papers produced by Raj Sachdev. 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 Raj Sachdev. The network helps show where Raj Sachdev may publish in the future.
Co-authors
The 25 scholars most cited alongside Raj Sachdev, 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 | Identification, purification, and biological characterization of hematopoietic stem cell factor from buffalo rat liver-conditioned medium Hit paper breakdown → | 1990 | 723 |
| 2 | 1988 | 57 | |
| 3 | 1992 | 48 | |
| 4 | 1990 | 43 | |
| 5 | 2020 | 19 | |
| 6 | 1993 | 17 | |
| 7 | 1995 | 3 | |
| 8 | 2015 | 2 | |
| 9 | 2013 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2013 | 1 | |
| 12 | 2015 | 1 |
About Raj Sachdev
Raj Sachdev is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Genetics and Oncology, having authored 12 papers that have together received 917 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Bacterial Genetics and Biotechnology (2 papers), Virus-based gene therapy research (2 papers), Glycosylation and Glycoproteins Research (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Hematology (299 citations), Immunology (343 citations), Immunology and Allergy (86 citations), Genetics (116 citations) and Genetics (171 citations). Raj Sachdev has collaborated with scholars based in United States and France. Frequent co-authors include Hsieng S. Lu, Krisztina M. Zsebo, Elizabeth A. Mendiaz, Jette Wypych, Keith Langley, R A Bosselman, Ian McNiece, Linda O. Narhi, V L Mar and W. Neal Burnette. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Journal of Clinical Oncology, Archives of Biochemistry and Biophysics, Cell 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.