SE Salmon

2.0k citations
34 papers · 1.7k · h-index 17

Impact in

  • Hematology top 1%
    • Multiple Myeloma Research and Treatments
  • Oncology top 2%
    • Drug Transport and Resistance Mechanisms
    • Peptidase Inhibition and Analysis
    • Cancer Treatment and Pharmacology

Papers in

    • Drug Transport and Resistance Mechanisms 13
    • Cancer Treatment and Pharmacology 11
    • Peptidase Inhibition and Analysis 4
    • Multiple Myeloma Research and Treatments 21

SE Salmon

33 papers receiving 1.6k citations

Peers

SE Salmon
Comparison fields: 5 of 83
  • Hematology 918
  • Oncology 1.0k
  • Genetics 204
  • Molecular Biology 864
  • Infectious Diseases 129
Replace Joseph Michaeli with:
Joseph Michaeli United States
WS Dalton United States
Lene Meldgaard Knudsen Denmark
Monica Pallis United Kingdom
Miloslav Beran United States
Sebastian Mayer United States
Tanya Trippett United States
Christian Wuchter Germany
F Gavosto Italy
Ralph Wäsch Germany
SE Salmon relative to Joseph Michaeli United States Joseph Michaeli's profile →
Citations per field
00.5×1.5×
Joseph Michaeli · 1×
Citations per year

Countries citing papers authored by SE Salmon

Since Specialization
Citations

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

Fields of papers citing papers by SE Salmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980214
2 1991195
3 1989194
4 1993177
5 1990133
6 1990126
7 197577
8 199176
9 199068
10 198366
11 199166
12 197764
13 199242
14 197932
15 198131
16 198929
17 198017
18 199112
19 199311
20 199110

About SE Salmon

SE Salmon is a scholar working on Oncology, Hematology, Molecular Biology, Immunology and Pathology and Forensic Medicine, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (21 papers), Drug Transport and Resistance Mechanisms (13 papers), Cancer Treatment and Pharmacology (11 papers), Cancer therapeutics and mechanisms (6 papers), Glycosylation and Glycoproteins Research (6 papers), Peptidase Inhibition and Analysis (4 papers), Immune Cell Function and Interaction (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (918 citations), Oncology (1.0k citations), Genetics (204 citations), Molecular Biology (864 citations) and Infectious Diseases (129 citations). SE Salmon has collaborated with scholars based in United States and Australia. Frequent co-authors include BG Durie, WS Dalton, TM Grogan, Donna Stock-Novack, John Crowley, Coltman Ca, Patrick R. Finley, TP Miller, DJ Roe and Scott S. Emerson. Their work appears in journals such as Blood, Australian Veterinary Journal and Cancer Genetics and Cytogenetics.

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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