Maik Stein

1.6k citations
27 papers · 1.0k · h-index 16

Impact in

Papers in

    • Polyomavirus and related diseases 6
    • CAR-T cell therapy research 4
    • Cytomegalovirus and herpesvirus research 10
    • Pneumocystis jirovecii pneumonia detection and treatment 2

Maik Stein

27 papers receiving 1.0k citations

Peers

Maik Stein
Comparison fields: 5 of 86
  • Transplantation 196
  • Infectious Diseases 416
  • Immunology 306
  • Oncology 350
  • Epidemiology 373
Replace Alexis Dumoulin with:
Alexis Dumoulin Switzerland
Marianne Coste‐Burel France
Blanche Curfman United States
Faézeh Legrand France
Christine Hanssen Rinaldo Norway
Yuki Asano‐Mori Japan
Petr Hubáček Czechia
Luiz F. Lisboa Canada
Calvin Strehl United States
Étienne Brochot France
Maik Stein relative to Alexis Dumoulin Switzerland Alexis Dumoulin's profile →
Citations per field
00.5×6.2×
Alexis Dumoulin · 1×
Citations per year

Countries citing papers authored by Maik Stein

Since Specialization
Citations

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

Fields of papers citing papers by Maik Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006141
2 2006117
3 2011106
4 201078
5 200477
6 201370
7 201570
8 200554
9 201743
10 201335
11
Kaposi's sarcoma in renal transplant recipients. Experience at Johannesburg Hospital, 1966-1989.
199434
12 202333
13 201133
14 201532
15 201723
16 202119
17 201812
18 201811
19 201610
20 20178

About Maik Stein

Maik Stein is a scholar working on Oncology, Epidemiology, Transplantation, Infectious Diseases and Molecular Biology, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (10 papers), Cytomegalovirus and herpesvirus research (10 papers), Polyomavirus and related diseases (6 papers), Tuberculosis Research and Epidemiology (5 papers), CAR-T cell therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Parvovirus B19 Infection Studies (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). The work is most often cited by research in Transplantation (196 citations), Infectious Diseases (416 citations), Immunology (306 citations), Oncology (350 citations) and Epidemiology (373 citations). Maik Stein has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Petra Reinke, Thomas Schachtner, Stefan H. E. Kaufmann, Antje Kahnert, Nina Babel, Silke Bandermann, Hans‐Joachim Mollenkopf, Peter Seiler, Anett Sefrin and Karin Hahnke. Their work appears in journals such as Transplant International, American Journal of Transplantation, Transplantation, Scientific Reports and Frontiers in Cell and Developmental Biology.

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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