Shuchi Agrawal
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
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- Epigenetics and DNA Methylation
- Histone Deacetylase Inhibitors Research
- Retinoids in leukemia and cellular processes
- Protein Degradation and Inhibitors
Papers in
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- Acute Myeloid Leukemia Research 7
- Multiple Myeloma Research and Treatments 2
- Co-authors
- Hubert ServeCarsten Müller‐TidowWolfgang E. BerdelSteffen KoschmiederBjörn SteffenBülent SarginMasao MizukiYuzuru Kanakura
- Journals
- Blood (3 papers)Australian Critical Care (1 paper)Oncogene (1 paper)Leukemia Research (1 paper)Leukemia (1 paper)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Shuchi Agrawal
20 papers receiving 767 citations
Peers
Comparison fields: 5 of 81
- Hematology 348
- Molecular Biology 536
- Genetics 79
- Oncology 121
- Pathology and Forensic Medicine 78
Countries citing papers authored by Shuchi Agrawal
This map shows the geographic impact of Shuchi Agrawal'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 Shuchi Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuchi Agrawal more than expected).
Fields of papers citing papers by Shuchi Agrawal
This network shows the impact of papers produced by Shuchi Agrawal. 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 Shuchi Agrawal. The network helps show where Shuchi Agrawal may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuchi Agrawal, 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 | 2025 | 0 | |
| 2 | 2022 | 4 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 1 | |
| 5 | 2020 | 2 | |
| 6 | 2020 | 2 | |
| 7 | 2019 | 2 | |
| 8 | 2016 | 8 | |
| 9 | 2012 | 10 | |
| 10 | 2010 | 18 | |
| 11 | 2007 | 81 | |
| 12 | Increasing feeling of alienation among government employees in India | 2007 | 1 |
| 13 | 2007 | 26 | |
| 14 | 2007 | 53 | |
| 15 | 2007 | 98 | |
| 16 | Decitabine and vitamin D3 differentially affect hematopoietic transcription factors to induce monocytic differentiation. | 2007 | 21 |
| 17 | 2004 | 78 | |
| 18 | 2003 | 238 | |
| 19 | 2003 | 17 | |
| 20 | 2001 | 108 |
About Shuchi Agrawal
Shuchi Agrawal is a scholar working on Hematology, Developmental Biology, Periodontics, Radiological and Ultrasound Technology and Microbiology, having authored 21 papers that have together received 775 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Epigenetics and DNA Methylation (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Cancer Mechanisms and Therapy (2 papers), Multiple Myeloma Research and Treatments (2 papers), Cervical Cancer and HPV Research (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Oral Health Pathology and Treatment (1 paper). The work is most often cited by research in Hematology (348 citations), Molecular Biology (536 citations), Genetics (79 citations), Oncology (121 citations) and Pathology and Forensic Medicine (78 citations). Shuchi Agrawal has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Hubert Serve, Carsten Müller‐Tidow, Wolfgang E. Berdel, Steffen Koschmieder, Björn Steffen, Bülent Sargin, Masao Mizuki, Yuzuru Kanakura, Joachim Schwäble and Frank D. Böhmer. Their work appears in journals such as Blood, Australian Critical Care, Oncogene, Leukemia Research and Leukemia.
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.