Erik J. Soderblom

5.0k citations
110 papers · 3.1k · h-index 31

Impact in

Papers in

Erik J. Soderblom

104 papers receiving 3.1k citations

Peers

Erik J. Soderblom
Comparison fields: 5 of 129
  • Cell Biology 481
  • Molecular Biology 1.8k
  • Spectroscopy 368
  • Infectious Diseases 295
  • Neurology 130
Replace TuKiet T. Lam with:
TuKiet T. Lam United States
Markku Varjosalo Finland
Friedrich Buck Germany
Joseph Foster United States
Jeffrey C. Silva United States
Oriano Marin Italy
Dorothea Busse Germany
Kenichi Yoshino Japan
Todd M. Greco United States
Erik J. Soderblom relative to TuKiet T. Lam United States TuKiet T. Lam's profile →
Citations per field
00.5×1.5×1.8×
TuKiet T. Lam · 1×
Citations per year

Countries citing papers authored by Erik J. Soderblom

Since Specialization
Citations

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

Fields of papers citing papers by Erik J. Soderblom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik J. Soderblom. 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 Erik J. Soderblom. The network helps show where Erik J. Soderblom may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005313
2 2016234
3 2020139
4 2012116
5 2018107
6 200695
7 201785
8 201480
9 201668
10 201963
11 201562
12 201462
13 201758
14 202357
15 201656
16 201154
17 201849
18 200746
19 201344
20 201043

About Erik J. Soderblom

Erik J. Soderblom is a scholar working on Molecular Biology, Cell Biology, Infectious Diseases, Oncology and Spectroscopy, having authored 110 papers that have together received 3.1k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (11 papers), Advanced Proteomics Techniques and Applications (10 papers), Mass Spectrometry Techniques and Applications (10 papers), Osteoarthritis Treatment and Mechanisms (10 papers), Fungal and yeast genetics research (9 papers), Cellular transport and secretion (8 papers), RNA modifications and cancer (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Cell Biology (481 citations), Molecular Biology (1.8k citations), Spectroscopy (368 citations), Infectious Diseases (295 citations) and Neurology (130 citations). Erik J. Soderblom has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include M. Arthur Moseley, Michael B. Goshe, Scott H. Soderling, J. Will Thompson, Akiyoshi Uezu, William J. Steinbach, Praveen R. Juvvadi, Tyler WA Bradshaw, Steven C. Huber and Brett S. Phinney. Their work appears in journals such as Osteoarthritis and Cartilage, Nature Communications, Journal of Biological Chemistry, Science Advances and Antimicrobial Agents and Chemotherapy.

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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