Maik Stein

1.6k citations
28 papers · 1.1k · h-index 16

Impact in

Papers in

    • Polyomavirus and related diseases 5
    • CAR-T cell therapy research 3
    • Renal Transplantation Outcomes and Treatments 9

Maik Stein

27 papers receiving 1.1k citations

Peers

Maik Stein
Comparison fields: 5 of 84
  • Transplantation 165
  • Infectious Diseases 391
  • Immunology 296
  • Oncology 344
  • Epidemiology 348
Replace Alexis Dumoulin with:
Alexis Dumoulin Switzerland
James Ferrenberg United States
Petr Hubáček Czechia
Jean‐Thierry Aubin France
Mary C. Breinig United States
Céline Bressollette‐Bodin France
Yuki Asano‐Mori Japan
Fabrice Larosa France
Marco Frentsch Germany
Laura Lozza Germany
Maik Stein relative to Alexis Dumoulin Switzerland Alexis Dumoulin's profile →
Citations per field
00.5×6.7×
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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006149
2 2006124
3 2011113
4 201081
5 200479
6 201376
7 201572
8 200562
9 201745
10
Kaposi's sarcoma in renal transplant recipients. Experience at Johannesburg Hospital, 1966-1989.
199436
11 202335
12 201335
13 201133
14 201533
15 201725
16 202122
17 201812
18 201811
19 201610
20 20178

About Maik Stein

Maik Stein is a scholar working on Oncology, Transplantation, Epidemiology, Infectious Diseases and Molecular Biology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (9 papers), Cytomegalovirus and herpesvirus research (6 papers), Polyomavirus and related diseases (5 papers), Tuberculosis Research and Epidemiology (5 papers), Parvovirus B19 Infection Studies (3 papers), CAR-T cell therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Immune responses and vaccinations (2 papers). The work is most often cited by research in Transplantation (165 citations), Infectious Diseases (391 citations), Immunology (296 citations), Oncology (344 citations) and Epidemiology (348 citations). Maik Stein has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Stefan H. E. Kaufmann, Antje Kahnert, Petra Reinke, Nina Babel, Silke Bandermann, Thomas Schachtner, Hans‐Joachim Mollenkopf, Peter Seiler, Anett Sefrin and Karin Hahnke. Their work appears in journals such as Transplant International, American Journal of Transplantation, Transplantation, Infection and Immunity and European Journal of 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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