Benjamin C. Blum

1.1k citations
17 papers · 225 · h-index 8

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 6
    • Bioinformatics and Genomic Networks 3
    • Ubiquitin and proteasome pathways 1
    • Advanced Proteomics Techniques and Applications 5

Benjamin C. Blum

16 papers receiving 222 citations

Peers

Benjamin C. Blum
Comparison fields: 5 of 64
  • Infectious Diseases 36
  • Aging 3
  • Insect Science 21
  • Spectroscopy 26
  • Molecular Biology 97
Replace Mari Vähä-Mäkilä with:
Mari Vähä-Mäkilä Finland
David Strugatsky United States
Milton Pereira Brazil
Lulu Tian China
Maja Munk Eliasen Austria
Suyi Luo China
Yanping Chen China
Jinling Fang Singapore
Dominique Lecaque France
D M Quinn Australia
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Citations per field
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Citations per year

Countries citing papers authored by Benjamin C. Blum

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin C. Blum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin C. Blum. 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 Benjamin C. Blum. The network helps show where Benjamin C. Blum may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202159
2 201839
3 202126
4 202021
5 202216
6 202115
7 202115
8 202313
9 20246
10 20216
11 20204
12 20231
13 20231
14 20221
15 20141
16 20241
17 20250

About Benjamin C. Blum

Benjamin C. Blum is a scholar working on Molecular Biology, Spectroscopy, Infectious Diseases, Surgery and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 225 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Advanced Proteomics Techniques and Applications (5 papers), Bioinformatics and Genomic Networks (3 papers), COVID-19 Clinical Research Studies (2 papers), Advanced Chemical Sensor Technologies (2 papers), Ubiquitin and proteasome pathways (1 paper), Ferroptosis and cancer prognosis (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Infectious Diseases (36 citations), Aging (3 citations), Insect Science (21 citations), Spectroscopy (26 citations) and Molecular Biology (97 citations). Benjamin C. Blum has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include Andrew Emili, Fatemeh Mousavi, Ryan Hekman, Weiwei Lin, Horácio M. Frydman, Vipul C. Chitalia, Nabil Rabhi, Raghuveera Kumar Goel, Nazimuddin Khan and Susan C. Baker. Their work appears in journals such as mBio, Frontiers in Cell and Developmental Biology, Frontiers in Cardiovascular Medicine, Biophysical Journal and Research and Practice in Thrombosis and Haemostasis.

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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