GJ Johnson

1.3k citations
29 papers · 1.1k · h-index 16

Impact in

Papers in

GJ Johnson

29 papers receiving 1.0k citations

Peers

GJ Johnson
Comparison fields: 5 of 125
  • Microbiology 102
  • Cardiology and Cardiovascular Medicine 270
  • Ophthalmology 71
  • Hematology 89
  • Radiology, Nuclear Medicine and Imaging 145
Replace Leilei Wang with:
Leilei Wang China
Alen Faiz Netherlands
Masahiro TAGAWA Japan
Veena Rao United States
Yan Yao China
Yuichi Takahashi Japan
Kozue Saito Japan
Hannah C. Cox United States
María Jesús González-García Spain
Muhammad S. Ajmal Pakistan
GJ Johnson relative to Leilei Wang China Leilei Wang's profile →
Citations per field
00.5×2×4×6.8×
Leilei Wang · 1×
Citations per year

Countries citing papers authored by GJ Johnson

Since Specialization
Citations

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

Fields of papers citing papers by GJ Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Plasma norepinephrine, plasma renin activity, and congestive heart failure. Relations to survival and the effects of therapy in V-HeFT II. The V-HeFT VA Cooperative Studies Group.
1993304
2
Blindness and visual impairment in southern Malawi.
198692
3 200183
4 199782
5 198664
6 200961
7 199853
8 200649
9 198545
10 198035
11 199035
12 199329
13 199428
14 199028
15 201316
16 199816
17 201314
18 200314
19 200111
20 197711

About GJ Johnson

GJ Johnson is a scholar working on Hematology, Pediatrics, Perinatology and Child Health, Microbiology, Pharmacology and Ophthalmology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (3 papers), Neonatal Health and Biochemistry (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Glycosylation and Glycoproteins Research (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Chemokine receptors and signaling (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Microbiology (102 citations), Cardiology and Cardiovascular Medicine (270 citations), Ophthalmology (71 citations), Hematology (89 citations) and Radiology, Nuclear Medicine and Imaging (145 citations). GJ Johnson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Anna Simon, Jay N. Cohn, Gary S. Francis, Tom S. Rector, Steven Louis Goldman, T T Wu, Allen Foster, David Gordon, Margaret K. Hostetter and HS Jacob. Their work appears in journals such as Blood, The Lancet, Endangered Species Research, Anesthesiology and The Journal of Infectious Diseases.

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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