Mary Johnson

1.3k citations
42 papers · 923 · h-index 16

Impact in

  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
  • Cell Biology top 10%
    • Hemoglobin structure and function

Papers in

Mary Johnson

39 papers receiving 866 citations

Peers

Mary Johnson
Comparison fields: 5 of 133
  • Genetics 138
  • Cell Biology 162
  • Physiology 224
  • Cellular and Molecular Neuroscience 151
  • Biological Psychiatry 20
Replace Peter J. Wookey with:
Peter J. Wookey Australia
Changhong Li China
Stephen D. Collins United States
Toshiyuki Hayabara Japan
D.J.A. Eckland United Kingdom
Sandra Mariel Martin Argentina
John P. Konhilas United States
Thomas E. Nelson United States
Johanna Öberg Sweden
Mary Johnson relative to Peter J. Wookey Australia Peter J. Wookey's profile →
Citations per field
00.5×2.6×
Peter J. Wookey · 1×
Citations per year

Countries citing papers authored by Mary Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Mary Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000124
2 2002120
3 201388
4 199166
5 197762
6 200056
7 200449
8 197849
9 199448
10 197430
11 199324
12 197719
13 197719
14 197617
15
Using medical scribes in a physician practice.
201316
16 201216
17 197912
18 197712
19 201311
20 198410

About Mary Johnson

Mary Johnson is a scholar working on Molecular Biology, Cell Biology, Genetics, Physiology and Pediatrics, Perinatology and Child Health, having authored 42 papers that have together received 923 indexed citations. Recurring topics across this work include Hemoglobin structure and function (11 papers), Hemoglobinopathies and Related Disorders (8 papers), Erythrocyte Function and Pathophysiology (6 papers), Glycosylation and Glycoproteins Research (5 papers), Neonatal Health and Biochemistry (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Genetics (138 citations), Cell Biology (162 citations), Physiology (224 citations), Cellular and Molecular Neuroscience (151 citations) and Biological Psychiatry (20 citations). Mary Johnson has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Winston F. Moo-Penn, Danny L. Jue, J.A. Court, R.S. Hall, Thanasak Teaktong, Alison Graham, Roxanne W. McDaniel, Verna A. Rhodes, Evelyn Jaros and Paul G. Ince. Their work appears in journals such as Cancer Nursing, Brain Research, Biochemistry, Journal of the Neurological Sciences and FEBS Letters.

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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