S.A. Johnson

2.6k citations
35 papers · 2.1k · h-index 21

Impact in

  • Genetics top 1%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 2%
    • Acute Myeloid Leukemia Research

Papers in

    • Chronic Lymphocytic Leukemia Research 10
    • Acute Myeloid Leukemia Research 9

S.A. Johnson

35 papers receiving 1.9k citations

Peers

S.A. Johnson
Comparison fields: 5 of 94
  • Genetics 766
  • Hematology 417
  • Immunology 681
  • Pathology and Forensic Medicine 512
  • Oncology 410
Replace Todd Busman with:
Todd Busman United States
Valérie Gouilleux‐Gruart France
Bertold Emmerich Germany
RJ Jones United States
K. C. Anderson United States
LL Sensenbrenner United States
M Keating United States
Brian T. Hill United States
Carole L. Berger United States
Ewa Lech‐Marańda Poland
S.A. Johnson relative to Todd Busman United States Todd Busman's profile →
Citations per field
00.5×1.7×
Todd Busman · 1×
Citations per year

Countries citing papers authored by S.A. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by S.A. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996369
2 1995227
3 1995194
4 2009182
5 1994124
6 2001100
7 199698
8 199781
9 198081
10 199479
11 200060
12 200459
13 198243
14 200041
15 198639
16 199837
17 200437
18 200834
19 197929
20 198028

About S.A. Johnson

S.A. Johnson is a scholar working on Genetics, Hematology, Oncology, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (10 papers), Acute Myeloid Leukemia Research (9 papers), Acute Lymphoblastic Leukemia research (7 papers), Lymphoma Diagnosis and Treatment (4 papers), Neutropenia and Cancer Infections (4 papers), T-cell and B-cell Immunology (3 papers), Cancer Treatment and Pharmacology (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Genetics (766 citations), Hematology (417 citations), Immunology (681 citations), Pathology and Forensic Medicine (512 citations) and Oncology (410 citations). S.A. Johnson has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include John C. Cambier, Lily Pao, Gunnar Juliusson, Wolfgang Hiddemann, P.J. Wyld, Bertold Emmerich, H. Löffler, Marcus R. Clark, Alex Smith and Deborah Richardson. Their work appears in journals such as British Journal of Haematology, Blood Reviews, QJM, The Lancet and Annals of Oncology.

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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