Aditya Shroff

572 citations
5 papers · 410 · h-index 4

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Cancer Genomics and Diagnostics
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Protein Degradation and Inhibitors 2
    • Ubiquitin and proteasome pathways 1
    • Acute Myeloid Leukemia Research 2
    • Multiple Myeloma Research and Treatments 2

Aditya Shroff

5 papers receiving 408 citations

Peers

Aditya Shroff
Comparison fields: 5 of 46
  • Hematology 152
  • Cancer Research 86
  • Business and International Management 11
  • Molecular Biology 294
  • Genetics 33
Replace Vincent Frontera with:
Vincent Frontera France
Juliana Xavier-Ferrucio United States
Petra Zeisberger Germany
Kristina Brumme United States
Nerea Marcotegui Spain
Rozario Thomas United States
Stephan Kolodziej Germany
Kimberly R. Blahnik United States
Óscar Navarro-Montero Spain
Lisa von Paleske Germany
Aditya Shroff relative to Vincent Frontera France Vincent Frontera's profile →
Citations per field
00.5×5.7×
Vincent Frontera · 1×
Citations per year

Countries citing papers authored by Aditya Shroff

Since Specialization
Citations

This map shows the geographic impact of Aditya Shroff'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 Aditya Shroff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Shroff more than expected).

Fields of papers citing papers by Aditya Shroff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aditya Shroff. 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 Aditya Shroff. The network helps show where Aditya Shroff may publish in the future.

Co-authors

The 25 scholars most cited alongside Aditya Shroff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aditya Shroff Line = papers co-authored together Aditya Shroff links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Aditya Shroff

Aditya Shroff is a scholar working on Molecular Biology, Hematology, Pharmacology, Cellular and Molecular Neuroscience and Oncology, having authored 5 papers that have together received 410 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Protein Degradation and Inhibitors (2 papers), Multiple Myeloma Research and Treatments (2 papers), IoT-based Smart Home Systems (1 paper), Cannabis and Cannabinoid Research (1 paper), Engineering and Technology Innovations (1 paper), Ubiquitin and proteasome pathways (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). The work is most often cited by research in Hematology (152 citations), Cancer Research (86 citations), Business and International Management (11 citations), Molecular Biology (294 citations) and Genetics (33 citations). Aditya Shroff has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Scott W. Lowe, James E. Bradner, Yu Liu, John P. Morris, Nikolaus Schultz, Justin R. Cross, Chao Lü, Patrick S. Ward, Amy Rappaport and Johannes Zuber. Their work appears in journals such as Progress in Neuro-Psychopharmacology and Biological Psychiatry, Genes & Development, Cancer Cell and eLife.

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.

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