N. Scott Reading

50 papers receiving 822 citations

Peers

N. Scott Reading
Comparison fields: 5 of 90
  • Genetics 174
  • Pediatrics, Perinatology and Child Health 222
  • Biotechnology 109
  • Hematology 92
  • Physiology 151
Replace José Francisco Figueiredo with:
José Francisco Figueiredo Brazil
Rupak Pathak United States
Anne V. Corrigall South Africa
Takeo Yoshinaga Japan
Charles R. Zerez United States
Richard F. Ransom United States
Zeyu Yang China
Wenli Guo China
Walter Kocholaty United States
N. Scott Reading relative to José Francisco Figueiredo Brazil José Francisco Figueiredo's profile →
Citations per field
00.5×8.7×
José Francisco Figueiredo · 1×
Citations per year

Countries citing papers authored by N. Scott Reading

Since Specialization
Citations

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

Fields of papers citing papers by N. Scott Reading

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201669
2 201759
3 200955
4 201248
5 202048
6 199944
7 200037
8 199836
9 199933
10 199831
11 200028
12 201026
13 200526
14 201620
15 201319
16 201319
17 201218
18 201216
19 200116
20 200215

About N. Scott Reading

N. Scott Reading is a scholar working on Pediatrics, Perinatology and Child Health, Genetics, Pulmonary and Respiratory Medicine, Hematology and Physiology, having authored 53 papers that have together received 848 indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (24 papers), Hemoglobinopathies and Related Disorders (17 papers), Methemoglobinemia and Tumor Lysis Syndrome (11 papers), Erythrocyte Function and Pathophysiology (11 papers), Enzyme-mediated dye degradation (9 papers), Blood groups and transfusion (7 papers), Electrochemical sensors and biosensors (6 papers) and Iron Metabolism and Disorders (5 papers). The work is most often cited by research in Genetics (174 citations), Pediatrics, Perinatology and Child Health (222 citations), Biotechnology (109 citations), Hematology (92 citations) and Physiology (151 citations). N. Scott Reading has collaborated with scholars based in United States, Palestinian Territory and Czechia. Frequent co-authors include Steven D. Aust, Josef T. Prchal, Mahmoud M. Sirdah, Robert D. Christensen, Hassan M. Yaish, Archana M. Agarwal, Sergei Timofeevski, Roberto Nussenzveig, Victor R. Gordeuk and Sherrie L. Perkins. Their work appears in journals such as Blood, Blood Cells Molecules and Diseases, Archives of Biochemistry and Biophysics, Journal of Molecular Diagnostics and British Journal of Haematology.

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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