Nathan Bills

23 papers receiving 383 citations

Peers

Nathan Bills
Comparison fields: 5 of 74
  • Rheumatology 219
  • Clinical Biochemistry 35
  • Pediatrics, Perinatology and Child Health 54
  • Obstetrics and Gynecology 20
  • Nutrition and Dietetics 32
Replace Leonie G. Mikael with:
Leonie G. Mikael Canada
Muhammad Ishaq Pakistan
Alpay Çakmak Türkiye
A F de Haan Netherlands
Mary K. Keyes United States
Cecilia Valeria Pérez Argentina
Anjum Saeed Saudi Arabia
Didier Chevenne France
Vincenzo Muscia Italy
JACOBO GHITIS Colombia
Nathan Bills relative to Leonie G. Mikael Canada Leonie G. Mikael's profile →
Citations per field
00.5×2.7×
Leonie G. Mikael · 1×
Citations per year

Countries citing papers authored by Nathan Bills

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Bills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199279
2 198950
3 199050
4 199238
5 200926
6 199124
7 199320
8 201417
9 201716
10 199314
11 201913
12 199013
13 20178
14 19918
15
Transgenic models of human cancer.
19915
16 19864
17 19963
18 19923
19 19853
20 20211

About Nathan Bills

Nathan Bills is a scholar working on Rheumatology, Surgery, Clinical Biochemistry, Genetics and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 398 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (9 papers), Metabolism and Genetic Disorders (4 papers), Surgical Simulation and Training (2 papers), Animal Genetics and Reproduction (2 papers), Child Nutrition and Feeding Issues (2 papers), Hernia repair and management (2 papers), T-cell and Retrovirus Studies (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Rheumatology (219 citations), Clinical Biochemistry (35 citations), Pediatrics, Perinatology and Child Health (54 citations), Obstetrics and Gynecology (20 citations) and Nutrition and Dietetics (32 citations). Nathan Bills has collaborated with scholars based in United States and Belgium. Frequent co-authors include A J Clifford, Steven H. Hinrichs, Andrew J. Clifford, A. J. Clifford, David S. Wilson, Hans‐Georg Müller, S. H. Hinrichs, Robert J. Morgan, Dmitry Oleynikov and A. Daniel Jones. Their work appears in journals such as Journal of Nutrition, JNCI Journal of the National Cancer Institute, Surgical Innovation, Diagnostic Microbiology and Infectious Disease and The American Journal of Surgery.

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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