Mark Nitz

5.6k citations
131 papers · 4.5k · h-index 38

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 28
    • Advanced biosensing and bioanalysis techniques 20
    • Chemical Synthesis and Analysis 17
    • Bacterial biofilms and quorum sensing 13
    • Single-cell and spatial transcriptomics 9
    • Carbohydrate Chemistry and Synthesis 30

Mark Nitz

130 papers receiving 4.4k citations

Peers

Mark Nitz
Comparison fields: 5 of 131
  • Biophysics 370
  • Spectroscopy 698
  • Molecular Biology 2.8k
  • Organic Chemistry 1.1k
  • Biotechnology 256
Replace Marco van de Weert with:
Marco van de Weert Denmark
Kai Griebenow Puerto Rico
Bong Hyun Chung South Korea
Emmanuel A. Theodorakis United States
Santi Nonell Spain
Xiaohe Tian China
Aichun Dong United States
Marjeta Šentjurc Slovenia
Ilkka Hemmilä Finland
William H. Sawyer Australia
Mark Nitz relative to Marco van de Weert Denmark Marco van de Weert's profile →
Citations per field
00.5×3.6×
Marco van de Weert · 1×
Citations per year

Countries citing papers authored by Mark Nitz

Since Specialization
Citations

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

Fields of papers citing papers by Mark Nitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010275
2 2007247
3 2004167
4 2003157
5 2003157
6 2003138
7 2007123
8 2008114
9 2010108
10 200899
11 199898
12 200387
13 200886
14 200580
15 202078
16 200275
17 200969
18 200167
19 200763
20 201261

About Mark Nitz

Mark Nitz is a scholar working on Molecular Biology, Organic Chemistry, Biomedical Engineering, Materials Chemistry and Genetics, having authored 131 papers that have together received 4.5k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (30 papers), Glycosylation and Glycoproteins Research (28 papers), Advanced biosensing and bioanalysis techniques (20 papers), Chemical Synthesis and Analysis (17 papers), Bacterial biofilms and quorum sensing (13 papers), Enzyme Production and Characterization (13 papers), Bacterial Genetics and Biotechnology (11 papers) and Single-cell and spatial transcriptomics (9 papers). The work is most often cited by research in Biophysics (370 citations), Spectroscopy (698 citations), Molecular Biology (2.8k citations), Organic Chemistry (1.1k citations) and Biotechnology (256 citations). Mark Nitz has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Barbara Imperiali, Olga Ornatsky, Mitchell A. Winnik, Vladimir Baranov, Katherine J. Franz, David R. Bundle, Scott D. Tanner, Dmitry Bandura, Xudong Lou and Isaac Herrera. Their work appears in journals such as ChemBioChem, Journal of Biological Chemistry, Carbohydrate Research, Angewandte Chemie International Edition and Chemical Communications.

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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