P Chin

432 citations
15 papers · 339 indexed · h-index 7
Topics
Multiple Sclerosis Research Studies (5 papers)Acute Lymphoblastic Leukemia research (2 papers)Sphingolipid Metabolism and Signaling (2 papers)

In The Last Decade

P Chin

15 papers receiving 331 citations

Peers

P Chin
Comparison fields: 5 of 64
  • Molecular Biology 132
  • Surgery 96
  • Pathology and Forensic Medicine 82
  • Immunology 63
  • Cancer Research 45
Replace Eugene A. Berkowitz with:
Eugene A. Berkowitz United States
Rachel Howarth United Kingdom
Maria Kalina Poland
William A. Miller-Little United States
Ekta Rai India
Ewa Popowska Poland
C. M. Townsend United States
Chiyoko N. Inoue Japan
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P Chin relative to Eugene A. Berkowitz United States Eugene A. Berkowitz's profile →
Citations per field
00.5×3.7×
Eugene A. Berkowitz · 1×
Citations per year

Countries citing papers authored by P Chin

Since Specialization
Citations

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

Fields of papers citing papers by P Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P Chin

This figure shows the co-authorship network connecting the top 25 collaborators of P Chin. A scholar is included among the top collaborators of P Chin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P Chin. P Chin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 3
2 6
3 5
4 1
5
Efficacy of ocrelizumab in patients with PPMS with and without T1 gadolinium-enhancing lesions at baseline in a Phase III, placebo-controlled trial
4
6
Efficacy and safety of ocrelizumab in primary progressive multiple sclerosis - results of the placebo-controlled, double-blind, Phase III ORATORIO study
36
7 31
8 2
9 2
10 1
11 201
12 23
13 13
14 2
15 9

About P Chin

P Chin is a scholar working on Pathology and Forensic Medicine, Molecular Medicine and Parasitology, having authored 15 papers that have together received 339 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (5 papers), Acute Lymphoblastic Leukemia research (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (82 citations), Cancer Research (45 citations) and Immunology (63 citations). P Chin has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Helen H. Hobbs, Robert V. Farese, David Grass, Giulia Chiesa, Robert E. Hammer, Stephen G. Young, MacRae F. Linton, Shuo Jiao, Till Sprenger and Ludwig Kappos. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and Cell Host & Microbe.

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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