M. Sack

6.6k citations
103 papers · 4.4k indexed · 1 hit paper · h-index 36

Impact in

  • Biotechnology top 0.05%
    • Transgenic Plants and Applications
    • Microbial Inactivation Methods
  • Immunology top 2%
    • Toxin Mechanisms and Immunotoxins

Papers in

M. Sack

103 papers receiving 4.3k citations

Hit Papers

COVID-19 vaccine development and a potential nanomaterial path forward 2020 · 492 citations
4922020202620222024100200300400

Peers

M. Sack
Comparison fields: 5 of 169
  • Biotechnology 2.5k
  • Immunology 1.0k
  • Molecular Biology 2.6k
  • Physiology 121
  • Infectious Diseases 395
Replace Gerald C. O’Sullivan with:
Gerald C. O’Sullivan Ireland
Itai Benhar Israel
Alexander Tonevitsky Russia
Chun‐Ming Huang United States
Sin‐Hyeog Im South Korea
Qiang Chen China
Yi Wang China
Hans Söderlund Finland
Gareth Griffiths United Kingdom
Ho Min Kim South Korea
M. Sack relative to Gerald C. O’Sullivan Ireland Gerald C. O’Sullivan's profile →
Citations per field
00.5×1.5×
Gerald C. O’Sullivan · 1×
Citations per year

Countries citing papers authored by M. Sack

Since Specialization
Citations

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

Fields of papers citing papers by M. Sack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20239
3 202312
4 20215
5 201948
6 20181
7 201747
8 2016125
9 201597
10 201533
11 201430
12 201330
13 201319
14 201221
15 201118
16 201058
17 201077
18 200977
19 200519
20 2000238

About M. Sack

M. Sack is a scholar working on Biotechnology, Physiology, Immunology, Radiology, Nuclear Medicine and Imaging and Virology, having authored 103 papers that have together received 4.4k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (42 papers), Plant tissue culture and regeneration (24 papers), Microbial Inactivation Methods (18 papers), Toxin Mechanisms and Immunotoxins (18 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), CRISPR and Genetic Engineering (12 papers), High voltage insulation and dielectric phenomena (10 papers) and Pulsed Power Technology Applications (9 papers). The work is most often cited by research in Biotechnology (2.5k citations), Immunology (1.0k citations), Molecular Biology (2.6k citations), Physiology (121 citations) and Infectious Diseases (395 citations). M. Sack has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Rainer Fischer, Eva Stöger, Paul Christou, Jürgen Drossard, Carmen Alicia García Vaquero, Thomas W. Rademacher, Johannes Stadlmann, Veronique Beiss, Esperanza Torres and Yolande Perrin. Their work appears in journals such as Plant Biotechnology Journal, PLoS ONE, Biotechnology and Bioengineering, Proceedings of the National Academy of Sciences and IEEE Transactions on Dielectrics and Electrical Insulation.

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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