Pardeep Heir

907 citations
12 papers · 614 indexed · h-index 11

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Protein Tyrosine Phosphatases
    • Ubiquitin and proteasome pathways
    • Protein Kinase Regulation and GTPase Signaling
    • PI3K/AKT/mTOR signaling in cancer
    • RNA modifications and cancer

Papers in

Pardeep Heir

12 papers receiving 609 citations

Peers

Pardeep Heir
Comparison fields: 5 of 68
  • Cancer Research 149
  • Molecular Biology 463
  • Cell Biology 105
  • Genetics 62
  • Immunology 113
Replace Kimberly A. Scata with:
Kimberly A. Scata United States
Mamunur Rashid United Kingdom
Jessica Vieusseux Australia
Víctor J. Sánchez‐Arévalo Lobo Spain
Nicole E. Carlson United States
Kelsey Breslin Australia
Andrew Capen United States
Ying-Yi Li China
Kelly L. Slocum United States
Nakho Chang South Korea
Pardeep Heir relative to Kimberly A. Scata United States Kimberly A. Scata's profile →
Citations per field
00.5×1.5×1.9×
Kimberly A. Scata · 1×
Citations per year

Countries citing papers authored by Pardeep Heir

Since Specialization
Citations

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

Fields of papers citing papers by Pardeep Heir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Pardeep Heir, 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 Pardeep Heir Line = papers co-authored together Pardeep Heir links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 202014
2 201958
3 201625
4 20167
5 2015182
6 201414
7 201480
8 201319
9 201318
10 2012104
11 201135
12 201158

About Pardeep Heir

Pardeep Heir is a scholar working on Cancer Research, Hematology, Cell Biology, Oncology and Molecular Biology, having authored 12 papers that have together received 614 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), Cytokine Signaling Pathways and Interactions (3 papers), Acute Myeloid Leukemia Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Ubiquitin and proteasome pathways (2 papers), Microtubule and mitosis dynamics (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper). The work is most often cited by research in Cancer Research (149 citations), Molecular Biology (463 citations), Cell Biology (105 citations), Genetics (62 citations) and Immunology (113 citations). Pardeep Heir has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Michael Ohh, Severa Bunda, Gelareh Zadeh, Kelly Burrell, Brian Raught, Yoshihito Kano, Amir Alamsahebpour, Zhong‐Yin Zhang, Li‐Fan Zeng and Jeffrey E. Lee. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Molecular Cancer Research, Nature Medicine and Journal of Biological Chemistry.

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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