John L. Moore

496 citations
31 papers · 417 · h-index 12

Impact in

Papers in

John L. Moore

28 papers receiving 341 citations

Peers

John L. Moore
Comparison fields: 5 of 89
  • Immunology 89
  • Radiology, Nuclear Medicine and Imaging 81
  • Cancer Research 43
  • Genetics 28
  • Molecular Biology 164
Replace Robert G. Parsons with:
Robert G. Parsons United States
C M Jones United Kingdom
Marjorie L. Wier United States
David W. Houck United States
Owen C. Blair United States
M. Viau France
Deborah Kwok United States
Norman T. Felberg United States
Karen M. Miner United States
Robert H. Painter Canada
John L. Moore relative to Robert G. Parsons United States Robert G. Parsons's profile →
Citations per field
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Citations per year

Countries citing papers authored by John L. Moore

Since Specialization
Citations

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

Fields of papers citing papers by John L. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John L. Moore. 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 John L. Moore. The network helps show where John L. Moore may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197866
2 197256
3 197354
4 196835
5
Technical aspects of the macrophage electrophoretic mobility (MEM) test for malignant disease.
197324
6 199119
7 197619
8 197219
9 196812
10 198212
11 198912
12 197311
13 198611
14 19818
15 19728
16 19828
17 19817
18
Cost-Benefit Analysis: Issues in Its Use in Regulation
19956
19 19845
20 19724

About John L. Moore

John L. Moore is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Immunology and Biomedical Engineering, having authored 31 papers that have together received 417 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), Immunotherapy and Immune Responses (3 papers), Ultrasound and Hyperthermia Applications (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Effects of Radiation Exposure (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer Cells and Metastasis (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Immunology (89 citations), Radiology, Nuclear Medicine and Imaging (81 citations), Cancer Research (43 citations), Genetics (28 citations) and Molecular Biology (164 citations). John L. Moore has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include J A Pritchard, W.H. Sutherland, C. A. Joslin, Helen Bass, W.T. Coakley, J. Kieler, C. W. Smith, Jane Hanson, Ian C. Paterson and D P Bentley. Their work appears in journals such as British Journal of Cancer, International Journal of Radiation Oncology*Biology*Physics, Leukemia Research, International Journal of Radiation Biology and Gastroenterology.

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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