P Hunt

2.8k citations
45 papers · 2.2k indexed · 1 hit paper · h-index 23

P Hunt

45 papers receiving 2.1k citations

Hit Papers

The C. elegans model in toxicity testing4132016202620192022100200300400

Peers

P Hunt
Comparison fields: 5 of 126
  • Aging 315
  • Hematology 831
  • Genetics 279
  • Immunology and Allergy 64
  • Health, Toxicology and Mutagenesis 126
Replace Cheng Li with:
Cheng Li China
Rikio Tokunaga Japan
Francisco Rodríguez Spain
Yan Shang China
Kazutake Tsujikawa Japan
Francesca Luchetti Italy
Oliver Stehling Germany
Yien–Ming Kuo United States
Luca M. Neri Italy
Florence Debacq‐Chainiaux Belgium
P Hunt relative to Cheng Li China Cheng Li's profile →
Citations per field
00.5×5.6×
Cheng Li · 1×
Citations per year

Countries citing papers authored by P Hunt

Since Specialization
Citations

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

Fields of papers citing papers by P Hunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20242
4 20236
5 20234
6 202215
7 202029
8 201834
9 201261
10 201176
11 200610
12 200551
13 200412
14 200337
15 200324
16 199845
17
Megakaryocyte proplatelet-like process formation in vitro is inhibited by serum prothrombin, a process which is blocked by matrix-bound glycosaminoglycans.
199323
18
Platelet factor 4 mRNA expression in human erythroleukemic cells: regulation by phorbol esters and certain cytokines.
19915
19 199014
20 19884

About P Hunt

P Hunt is a scholar working on Aging, Hematology, Sensory Systems, Endocrine and Autonomic Systems and Immunology, having authored 45 papers that have together received 2.2k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (13 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers), Heparin-Induced Thrombocytopenia and Thrombosis (5 papers), Nanoparticles: synthesis and applications (4 papers), Blood groups and transfusion (4 papers), Olfactory and Sensory Function Studies (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Heavy Metal Exposure and Toxicity (3 papers). The work is most often cited by research in Aging (315 citations), Hematology (831 citations), Genetics (279 citations), Immunology and Allergy (64 citations) and Health, Toxicology and Mutagenesis (126 citations). P Hunt has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include MM Hokom, JL Nichol, Robert L. Sprando, Thomas C. Boone, AM Farese, T J MacVittie, Nicholas Olejnik, Esther Choi, AB Kelly and SR Hanson. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Food and Chemical Toxicology, Toxicology Reports and Stem Cells.

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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