N.E. Brown

444 citations
12 papers · 274 · h-index 6

Impact in

Papers in

N.E. Brown

12 papers receiving 242 citations

Peers

N.E. Brown
Comparison fields: 5 of 55
  • Rheumatology 127
  • Clinical Biochemistry 32
  • Biochemistry 20
  • Biotechnology 23
  • Cell Biology 40
Replace Konrad Bernhauer with:
Konrad Bernhauer Germany
H.D. Söling Germany
R.K. Ghambeer Australia
K. Bernhauer Germany
Jean‐Marie Girard France
Ben J. Murray United Kingdom
Kenneth Salsman United States
A. Heringová Czechia
E. I. B. Dresel United Kingdom
Nili Schoenfeld Israel
N.E. Brown relative to Konrad Bernhauer Germany Konrad Bernhauer's profile →
Citations per field
00.5×2.6×
Konrad Bernhauer · 1×
Citations per year

Countries citing papers authored by N.E. Brown

Since Specialization
Citations

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

Fields of papers citing papers by N.E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside N.E. Brown, 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 N.E. Brown Line = papers co-authored together N.E. Brown links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 197181
2 197172
3 196939
4 197235
5 197127
6 196512
7
Ion-exchange performance of crystalline silico-titanates for cesium removal from Hanford tank waste simulants
19942
8
Performance of crystalline silicotitanates for cesium removal from Hanford tank waste simulants
19942
9
Experiments on the e-beam radiolysis of simulated Hanford mixed waste
19931
10
Cesium separation using crystalline silicotitanate ion exchangers
19921
11 19851
12
Advanced forms of titanate ion exchangers for chemical pretreatment of nuclear wastes
19921

About N.E. Brown

N.E. Brown is a scholar working on Industrial and Manufacturing Engineering, Materials Chemistry, Rheumatology, Organic Chemistry and Molecular Biology, having authored 12 papers that have together received 274 indexed citations. Recurring topics across this work include Chemical Synthesis and Characterization (5 papers), Glycogen Storage Diseases and Myoclonus (3 papers), Nuclear materials and radiation effects (3 papers), Metabolism and Genetic Disorders (2 papers), Graphite, nuclear technology, radiation studies (2 papers), Radioactive element chemistry and processing (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Rheumatology (127 citations), Clinical Biochemistry (32 citations), Biochemistry (20 citations), Biotechnology (23 citations) and Cell Biology (40 citations). N.E. Brown has collaborated with scholars based in United States. Frequent co-authors include Joseph Larner, Catherine Smith, C. Villar‐Palasi, Henry D. Janowitz, Charles D. Gerson, Victor Herbert, N. L. Cohen, Gershon W. Hepner, R.G. Anthony and Da‐Wei Gu. Their work appears in journals such as Gastroenterology, The Journal of Organic Chemistry, Journal of Energetic Materials, Biochimica et Biophysica Acta (BBA) - Enzymology and University of North Texas Digital Library (University of North Texas).

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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