Maik Grohmann

27 total papers · 1.4k total citations
14 papers, 1.0k citations indexed

About

Maik Grohmann is a scholar working on Molecular Biology, Immunology and Nephrology. According to data from OpenAlex, Maik Grohmann has authored 14 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Nephrology. Recurrent topics in Maik Grohmann's work include Renal Transplantation Outcomes and Treatments (3 papers), Complement system in diseases (3 papers) and Renal Diseases and Glomerulopathies (3 papers). Maik Grohmann is often cited by papers focused on Renal Transplantation Outcomes and Treatments (3 papers), Complement system in diseases (3 papers) and Renal Diseases and Glomerulopathies (3 papers). Maik Grohmann collaborates with scholars based in Germany, United Kingdom and Slovenia. Maik Grohmann's co-authors include Diego J. Walther, Michael Bäder, Jakob Vowinckel, C. Wilhelm, Sandra Winter, Jens‐Uwe Peter, Markus Höltje, Gudrun Ahnert‐Hilger, Bettina Bert and Marjan Slak Rupnik and has published in prestigious journals such as Cell, PLoS ONE and Biological Psychiatry.

In The Last Decade

Maik Grohmann

14 papers receiving 996 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maik Grohmann 380 240 158 141 137 14 1.0k
Gabriel Rusanescu 454 1.2× 225 0.9× 145 0.9× 107 0.8× 68 0.5× 14 1.1k
Cécile Fligny 338 0.9× 237 1.0× 144 0.9× 70 0.5× 88 0.6× 13 981
Mei Hu 222 0.6× 211 0.9× 146 0.9× 170 1.2× 112 0.8× 20 826
Gregory Turner 260 0.7× 129 0.5× 284 1.8× 90 0.6× 80 0.6× 26 909
Anja Urbach 309 0.8× 159 0.7× 193 1.2× 59 0.4× 288 2.1× 29 1.2k
T. F. Wienker 610 1.6× 130 0.5× 141 0.9× 65 0.5× 175 1.3× 25 1.1k
Wenyi Zhu 464 1.2× 206 0.9× 92 0.6× 62 0.4× 96 0.7× 28 1.2k
Chang Su 437 1.1× 236 1.0× 120 0.8× 56 0.4× 65 0.5× 26 1.0k
Sonia Rehal 208 0.5× 148 0.6× 177 1.1× 39 0.3× 214 1.6× 18 903
Carolina Prado 234 0.6× 157 0.7× 89 0.6× 99 0.7× 56 0.4× 30 1.1k

Countries citing papers authored by Maik Grohmann

Since Specialization
Citations

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

Fields of papers citing papers by Maik Grohmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maik Grohmann

This figure shows the co-authorship network connecting the top 25 collaborators of Maik Grohmann. A scholar is included among the top collaborators of Maik Grohmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maik Grohmann. Maik Grohmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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