Philip Rock

454 citations
21 papers · 294 · h-index 9

Impact in

    • Caveolin-1 and cellular processes
    • Cellular transport and secretion
    • Lipid Membrane Structure and Behavior
    • Glycosylation and Glycoproteins Research
    • Sphingolipid Metabolism and Signaling

Papers in

Philip Rock

18 papers receiving 290 citations

Peers

Philip Rock
Comparison fields: 5 of 67
  • Cell Biology 70
  • Molecular Biology 210
  • Paleontology 22
  • Immunology 42
  • Physiology 37
Replace Keiji Miura with:
Keiji Miura Japan
Tatsuo Murakami Japan
Martin O’Rourke United Kingdom
B. Zimmer Germany
Véronique Cruciani Norway
Ricardo Graña‐Montes Spain
Lasse Gaarde Falkenby Denmark
Timothy S. Collier United States
Lina Feng China
Margaret Pruitt United States
Philip Rock relative to Keiji Miura Japan Keiji Miura's profile →
Citations per field
00.5×
Keiji Miura · 1×
Citations per year

Countries citing papers authored by Philip Rock

Since Specialization
Citations

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

Fields of papers citing papers by Philip Rock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199088
2 199174
3 199227
4 200919
5 202119
6 201711
7 200611
8 198910
9 20218
10 20216
11 19926
12 20125
13 20204
14 20182
15 20191
16 20241
17 20241
18 20221
19 20250
20 20260

About Philip Rock

Philip Rock is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Immunology, Genetics and Oncology, having authored 21 papers that have together received 294 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Glycosylation and Glycoproteins Research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cellular transport and secretion (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers), CAR-T cell therapy research (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Cell Biology (70 citations), Molecular Biology (210 citations), Paleontology (22 citations), Immunology (42 citations) and Physiology (37 citations). Philip Rock has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Thomas W. Tillack, T. E. Thompson, Margaretta Allietta, William W. Young, Wei Liu, Brent B. Nickol, Sandra L. Snyder, Michael R. Nelson, Carl E. Creutz and Victor R. Townsend. Their work appears in journals such as Blood, Pediatric Blood & Cancer, Biochemistry, Blood Advances and Clinical 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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