SE Salmon

2.0k citations
35 papers · 1.8k · 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 82
  • Hematology 917
  • Oncology 1.0k
  • Genetics 198
  • Molecular Biology 833
  • Infectious Diseases 133
Replace WS Dalton with:
WS Dalton United States
Edward J. Lee United States
F Gavosto Italy
Ralph Wäsch Germany
RJ Jones United States
Christian Wuchter Germany
Jean‐Luc Harousseau France
Sebastian Mayer United States
Mario Tiribelli Italy
Raymond Powles United Kingdom
SE Salmon relative to WS Dalton United States WS Dalton's profile →
Citations per field
00.5×
WS Dalton · 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980229
2 1991202
3 1989198
4 1993185
5 1990137
6 1990128
7 197582
8 199178
9 199071
10 199170
11 198369
12 197765
13 199244
14 197933
15 198132
16 198932
17 198017
18 199114
19 197813
20 199311

About SE Salmon

SE Salmon is a scholar working on Oncology, Hematology, Molecular Biology, Immunology and Pathology and Forensic Medicine, having authored 35 papers that have together received 1.8k 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), Glycosylation and Glycoproteins Research (6 papers), Cancer therapeutics and mechanisms (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 (917 citations), Oncology (1.0k citations), Genetics (198 citations), Molecular Biology (833 citations) and Infectious Diseases (133 citations). SE Salmon has collaborated with scholars based in United States and Australia. Frequent co-authors include BG Durie, WS Dalton, TM Grogan, John Crowley, Donna Stock-Novack, Patrick R. Finley, Coltman Ca, Denise J. Roe, TP Miller 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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