Sem Tamara

1.5k citations
25 papers · 883 indexed · 1 hit paper · h-index 15

Impact in

    • Mass Spectrometry Techniques and Applications
    • Advanced Proteomics Techniques and Applications
    • Analytical Chemistry and Chromatography

Papers in

Sem Tamara

25 papers receiving 869 citations

Hit Papers

High-Resolution Native Mass Spectrometry 2021 · 302 citations
3022021202620222024100200300

Peers

Sem Tamara
Comparison fields: 5 of 98
  • Spectroscopy 386
  • Structural Biology 15
  • Molecular Biology 516
  • Radiology, Nuclear Medicine and Imaging 130
  • Cell Biology 67
Replace Michiel van de Waterbeemd with:
Michiel van de Waterbeemd Netherlands
Marco L. Hennrich Germany
Clinton Yu United States
Maurits A. den Boer Netherlands
Daniel A. Polasky United States
Dianfan Li China
Vojtěch Franc Netherlands
Enrico Rennella Canada
David M. Hambly United States
Tsuyoshi Konuma Japan
Sem Tamara relative to Michiel van de Waterbeemd Netherlands Michiel van de Waterbeemd's profile →
Citations per field
00.5×3.5×
Michiel van de Waterbeemd · 1×
Citations per year

Countries citing papers authored by Sem Tamara

Since Specialization
Citations

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

Fields of papers citing papers by Sem Tamara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
High-Resolution Native Mass Spectrometry
Hit paper breakdown →
2021302
2 201863
3 202063
4 202162
5 202149
6 201646
7 202039
8 201936
9 202134
10 202126
11 202222
12 201518
13 202118
14 202015
15 202214
16 202213
17 202413
18 202312
19 201911
20 20208

About Sem Tamara

Sem Tamara is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Cell Biology and Hematology, having authored 25 papers that have together received 883 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Mass Spectrometry Techniques and Applications (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Blood groups and transfusion (4 papers), Cellular transport and secretion (4 papers), Signaling Pathways in Disease (2 papers), Hemoglobin structure and function (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Spectroscopy (386 citations), Structural Biology (15 citations), Molecular Biology (516 citations), Radiology, Nuclear Medicine and Imaging (130 citations) and Cell Biology (67 citations). Sem Tamara has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Albert J. R. Heck, Maurits A. den Boer, Richard A. Scheltema, Vojtěch Franc, Alexander Makarov, Kyle L. Fort, Jean‐François Greisch, Pascal Albanese, Cristina Pagliano and Max Hoek. Their work appears in journals such as Nature Communications, Journal of the American Society for Mass Spectrometry, Chemical Science, iScience and Cellular and Molecular Immunology.

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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