Benjamin P. Kellman

3.2k citations
24 papers · 1.1k · h-index 14

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 10
    • Microbial Metabolic Engineering and Bioproduction 4
    • Metabolomics and Mass Spectrometry Studies 3
    • Bioinformatics and Genomic Networks 3
    • SARS-CoV-2 and COVID-19 Research 3

Benjamin P. Kellman

24 papers receiving 1.0k citations

Peers

Benjamin P. Kellman
Comparison fields: 5 of 102
  • Nutrition and Dietetics 239
  • Infectious Diseases 247
  • Molecular Biology 573
  • Epidemiology 177
  • Genetics 118
Replace Stéphan Bouet with:
Stéphan Bouet France
Iwona Bukowska‐Ośko Poland
Toshihiko Katoh Japan
Karolina S. Jabbar Sweden
Virginia A. Pedicord United States
Vijay Morampudi Canada
Saiyu Hang United States
Chunjiang Zhang China
Kijeong Kim South Korea
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Citations per field
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Countries citing papers authored by Benjamin P. Kellman

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin P. Kellman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020297
2 2017200
3 2017153
4 201964
5 202243
6 202041
7 201837
8 201832
9 202028
10 202126
11 202020
12 202120
13 202116
14 201915
15 202111
16 202210
17 202010
18 20239
19 20209
20 20225

About Benjamin P. Kellman

Benjamin P. Kellman is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Infant Nutrition and Health (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Bioinformatics and Genomic Networks (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Nutrition and Dietetics (239 citations), Infectious Diseases (247 citations), Molecular Biology (573 citations), Epidemiology (177 citations) and Genetics (118 citations). Benjamin P. Kellman has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Nathan E. Lewis, Anne Richelle, Daniel C. Zielinski, Lars Bode, Chloe Autran, Arlin B. Blood, Elizabeth Asztalos, Aloka L. Patel, Jae Kim and Jiayi Hou. Their work appears in journals such as Nature Communications, Scientific Reports, Metabolic Engineering, Cell Host & Microbe and Cell Systems.

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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