Heather K. Raymon

2.6k citations
44 papers · 1.7k indexed · h-index 21

Impact in

Papers in

Heather K. Raymon

43 papers receiving 1.6k citations

Peers

Heather K. Raymon
Comparison fields: 5 of 105
  • Developmental Neuroscience 220
  • Cellular and Molecular Neuroscience 607
  • Neurology 221
  • Hematology 141
  • Genetics 130
Replace Kambiz N. Alavian with:
Kambiz N. Alavian United States
Simon Stott United Kingdom
Laurent Désiré France
Ping He United States
T. Popovici France
Amy Strickland United States
Virginia Rodriguez‐Menendez Italy
Gonzalo I. Cancino Canada
Sumiko Kiryu‐Seo Japan
Gijsbertus J. Pronk Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Heather K. Raymon

Since Specialization
Citations

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

Fields of papers citing papers by Heather K. Raymon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather K. Raymon. 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 Heather K. Raymon. The network helps show where Heather K. Raymon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 202266
3 202129
4
First-In-Human Phase I Study Of A Dual mTOR Kinase And DNA-PK Inhibitor (CC-115) In Advanced Malignancy
20191
5 201967
6 201828
7 201640
8 20131
9 20131
10 201122
11 200726
12 2002277
13 199738
14 1996104
15 1995174
16 199539
17 199534
18 199415
19 199319
20 199217

About Heather K. Raymon

Heather K. Raymon is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Immunology, Oncology and Hematology, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (8 papers), Nerve injury and regeneration (7 papers), CAR-T cell therapy research (6 papers), Erythrocyte Function and Pathophysiology (5 papers), Receptor Mechanisms and Signaling (5 papers), Immune Cell Function and Interaction (4 papers), Phagocytosis and Immune Regulation (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (220 citations), Cellular and Molecular Neuroscience (607 citations), Neurology (221 citations), Hematology (141 citations) and Genetics (130 citations). Heather K. Raymon has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Patrik Brundin, Cecilia Lundberg, Julie Lotharius, Sebastian Barg, Ron S. Broide, Ursula H. Winzer‐Serhan, Y Chen, F.M. Leslie, Jasodhara Ray and Fred H. Gage. Their work appears in journals such as Blood, Cancer Research, European Journal of Cancer, Molecular Cancer Therapeutics and Experimental Neurology.

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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