Jeff Johnson

937 citations
23 papers · 647 · h-index 15

Impact in

Papers in

    • Cancer-related molecular mechanisms research 5
    • Protease and Inhibitor Mechanisms 4
    • MicroRNA in disease regulation 2
    • Signaling Pathways in Disease 1

Jeff Johnson

22 papers receiving 625 citations

Peers

Jeff Johnson
Comparison fields: 5 of 93
  • Critical Care and Intensive Care Medicine 62
  • Immunology and Allergy 67
  • Cancer Research 141
  • Clinical Biochemistry 58
  • Developmental Neuroscience 28
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Kiran Belani United States
Andrew W. Eller United States
Cory Yamashita Canada
Patrik Gilje Sweden
M. Kanazawa Japan
Appakkudal R. Anand India
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Rohit Verma India
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Citations per field
00.5×5.6×
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Citations per year

Countries citing papers authored by Jeff Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeff 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 Jeff Johnson Line = papers co-authored together Jeff Johnson 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 200682
2 200978
3 200065
4 200859
5 200650
6 201645
7 201542
8 201641
9 201340
10 200928
11 201823
12 201419
13 201818
14 202117
15 202316
16
Ultra-Low Bending Loss Single-Mode Fiber for FTTH
20088
17 20156
18 20134
19 20172
20 20251

About Jeff Johnson

Jeff Johnson is a scholar working on Cancer Research, Molecular Biology, Oncology, Epidemiology and Immunology, having authored 23 papers that have together received 647 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Protease and Inhibitor Mechanisms (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Advanced Fiber Optic Sensors (2 papers), MicroRNA in disease regulation (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Peptidase Inhibition and Analysis (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (62 citations), Immunology and Allergy (67 citations), Cancer Research (141 citations), Clinical Biochemistry (58 citations) and Developmental Neuroscience (28 citations). Jeff Johnson has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include M. Sharon Stack, Zonggao Shi, Connie Price, Michael L. Wilson, Ivor S. Douglas, Marek Rola‐Pleszczynski, Maryse Thivierge, Jana Staňková, Daniel L. Miller and Yueying Liu. Their work appears in journals such as Journal of Biological Chemistry, Neoplasia, Genes & Cancer, Oral Oncology and Journal of Lightwave Technology.

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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