John Smith

4.3k citations
22 papers · 3.5k indexed · 2 hit papers · h-index 15

John Smith

22 papers receiving 3.3k citations

Hit Papers

A novel, rapid method for the isolation of terminal seque...569198920262001201350010001.5k2.0k

Peers

John Smith
Comparison fields: 5 of 123
  • Genetics 316
  • Molecular Biology 2.0k
  • Genetics 759
  • Hematology 295
  • Cancer Research 325
Replace Nicola K. Gray with:
Nicola K. Gray United Kingdom
Edward R. LaVallie United States
Lesley Heptinstall United Kingdom
Paul G. Rothberg United States
Donald G. Blair United States
R. Cortese Italy
Lawrence A. Chasin United States
John O. Bishop United Kingdom
Naomi Kitamura Japan
Arnold Oliphant United States
John Smith relative to Nicola K. Gray United Kingdom Nicola K. Gray's profile →
Citations per field
00.5×1.5×
Nicola K. Gray · 1×
Citations per year

Countries citing papers authored by John Smith

Since Specialization
Citations

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

Fields of papers citing papers by John Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 201430
3 201314
4 201251
5 199213
6 199156
7 199114
8 19916
9
A novel, rapid method for the isolation of terminal sequences from yeast artificial chromosome (YAC) clonesbreakdown →
1990569
10 199013
11 1990196
12
Analysis of any point mutation in DNA. The amplification refractory mutation system (ARMS)breakdown →
19892042
13 198910
14 19896
15 198453
16 19836
17 198281
18 198070
19 198040
20 197750

About John Smith

John Smith is a scholar working on Toxicology, Occupational Therapy and Molecular Biology, having authored 22 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (5 papers), RNA and protein synthesis mechanisms (4 papers), Molecular Biology Techniques and Applications (3 papers), Neonatal Respiratory Health Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Influenza Virus Research Studies (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Genetics (316 citations), Molecular Biology (2.0k citations) and Genetics (759 citations). John Smith has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Stephen Joseph Powell, Alexander F. Markham, Lesley Heptinstall, Claire Summers, Charles R. Newton, Alexander Graham, Noor Kalsheker, Rachel Butler, Rakesh Anand and J. Riley. Their work appears in journals such as Nucleic Acids Research, Gene, Journal of Medical Genetics, Cancers and Prenatal Diagnosis.

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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