Robert E. Moore

66 papers receiving 1.5k citations

Peers

Robert E. Moore
Comparison fields: 5 of 147
  • Numerical Analysis 88
  • Computational Theory and Mathematics 192
  • Hematology 134
  • Internal Medicine 36
  • Molecular Biology 592
Replace David J. W. Simpson with:
David J. W. Simpson Denmark
M. A. Chaudhry United States
Xingping Liu China
Michael Shmoish Israel
Benjamin W. Grunbaum United States
Marcus J. Tindall United Kingdom
Melissa M. Page Canada
Andreas Krause Switzerland
Jing Qin China
David Lee United States
Robert E. Moore relative to David J. W. Simpson Denmark David J. W. Simpson's profile →
Citations per field
00.5×10×13.7×
David J. W. Simpson · 1×
Citations per year

Countries citing papers authored by Robert E. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977158
2 1993145
3 2001134
4 2000130
5 1990101
6 200363
7 198660
8 199656
9 199154
10 196550
11 197642
12 198839
13 200538
14 197635
15 198333
16 200333
17
From moorland to forest: the Coalburn catchment experiment
199829
18 200128
19
Competitive RNA-DNA hybridization of nuclear and microsomal RNA during diethylnitrosamine hepatocarcinogenesis.
197325
20 198422

About Robert E. Moore

Robert E. Moore is a scholar working on Numerical Analysis, Molecular Biology, Nutrition and Dietetics, Cell Biology and Ecology, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), Animal Ecology and Behavior Studies (6 papers), RNA modifications and cancer (6 papers), Inflammatory Bowel Disease (6 papers), Drug Transport and Resistance Mechanisms (6 papers), RNA and protein synthesis mechanisms (5 papers), Insect Pest Control Strategies (4 papers) and Wildlife Ecology and Conservation (3 papers). The work is most often cited by research in Numerical Analysis (88 citations), Computational Theory and Mathematics (192 citations), Hematology (134 citations), Internal Medicine (36 citations) and Molecular Biology (592 citations). Robert E. Moore has collaborated with scholars based in United States, Nigeria and Germany. Frequent co-authors include Caroline C. Philpott, Cheol‐Won Yun, Charles Kent Smith, Edward F. Voelkel, Armen H. Tashjian, Phillip E. Klebba, JoAnn Hoskins, Jeffrey S. Hyams, Thomas Emery and Henry C. Pitot. Their work appears in journals such as Journal of Pediatric Gastroenterology and Nutrition, Journal of Biological Chemistry, Canadian Journal of Zoology, Biochemistry and International Journal of Cancer.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026