Maik Stein

1.7k citations
34 papers · 1.3k · h-index 19

Impact in

Papers in

    • Renal Transplantation Outcomes and Treatments 11
    • CAR-T cell therapy research 6
    • Polyomavirus and related diseases 5

Maik Stein

32 papers receiving 1.3k citations

Peers

Maik Stein
Comparison fields: 5 of 86
  • Transplantation 217
  • Infectious Diseases 399
  • Oncology 431
  • Immunology 327
  • Epidemiology 369
Replace Giuseppe Locatelli with:
Giuseppe Locatelli Italy
Jay S. Markowitz United States
Céline Bressollette‐Bodin France
Alexis Dumoulin Switzerland
Christine Hanssen Rinaldo Norway
Petr Hubáček Czechia
Blanche L. Curfman United States
Yuki Asano‐Mori Japan
Gert Grauls Netherlands
Kamonwan Jutivorakool Thailand
Maik Stein relative to Giuseppe Locatelli Italy Giuseppe Locatelli's profile →
Citations per field
00.5×1.5×2.1×
Giuseppe Locatelli · 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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006150
2 2006128
3 2011114
4 201384
5 201083
6 200478
7 201576
8 200563
9 202261
10 201751
11 202342
12 202136
13
Kaposi's sarcoma in renal transplant recipients. Experience at Johannesburg Hospital, 1966-1989.
199436
14 201335
15 201535
16 201132
17 202430
18 201726
19 202124
20 201814

About Maik Stein

Maik Stein is a scholar working on Transplantation, Oncology, Infectious Diseases, Immunology and Epidemiology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (11 papers), Cytomegalovirus and herpesvirus research (7 papers), CAR-T cell therapy research (6 papers), Tuberculosis Research and Epidemiology (5 papers), Polyomavirus and related diseases (5 papers), CRISPR and Genetic Engineering (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Transplantation (217 citations), Infectious Diseases (399 citations), Oncology (431 citations), Immunology (327 citations) and Epidemiology (369 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 J. Seiler, Anett Sefrin and Karin Hahnke. Their work appears in journals such as American Journal of Transplantation, Transplant International, Transplantation, Vaccine and Clinical Transplantation.

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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