Nina Lohmann

33 total papers · 644 total citations
16 papers, 504 citations indexed

About

Nina Lohmann is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry and Atmospheric Science. According to data from OpenAlex, Nina Lohmann has authored 16 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Health, Toxicology and Mutagenesis, 5 papers in Environmental Chemistry and 5 papers in Atmospheric Science. Recurrent topics in Nina Lohmann's work include Toxic Organic Pollutants Impact (15 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and Atmospheric chemistry and aerosols (5 papers). Nina Lohmann is often cited by papers focused on Toxic Organic Pollutants Impact (15 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and Atmospheric chemistry and aerosols (5 papers). Nina Lohmann collaborates with scholars based in Germany, Sweden and United States. Nina Lohmann's co-authors include Jan Koschorreck, Heinz Rüdel, Annette Fliedner, Olaf Päpke, Michelle L. Berger, Diane Brenner, Kurunthachalam Kannan, Susan D. Shaw, Annekatrin Dreyer and Frank Neugebauer and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Chemosphere.

In The Last Decade

Nina Lohmann

16 papers receiving 489 citations

Author Peers

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

Author Last Decade Papers Cites
Nina Lohmann 427 142 127 95 43 16 504
Mariana Pizarro 404 0.9× 169 1.2× 179 1.4× 190 2.0× 41 1.0× 9 552
Min-Hui Son 421 1.0× 239 1.7× 105 0.8× 97 1.0× 23 0.5× 16 545
Huizhong Sun 431 1.0× 85 0.6× 122 1.0× 124 1.3× 58 1.3× 22 537
Solidea Bonina 378 0.9× 162 1.1× 196 1.5× 111 1.2× 23 0.5× 7 456
Donna Zaruk 560 1.3× 134 0.9× 128 1.0× 124 1.3× 64 1.5× 9 610
Margaret B. Corcoran 429 1.0× 177 1.2× 237 1.9× 131 1.4× 33 0.8× 11 580
Òscar Aznar-Alemany 409 1.0× 77 0.5× 200 1.6× 37 0.4× 38 0.9× 13 482
Kine Bæk 411 1.0× 100 0.7× 165 1.3× 67 0.7× 59 1.4× 24 526
Chengkang Chen 360 0.8× 136 1.0× 103 0.8× 65 0.7× 11 0.3× 14 460
Qingzhi Wang 328 0.8× 47 0.3× 253 2.0× 45 0.5× 36 0.8× 18 512

Countries citing papers authored by Nina Lohmann

Since Specialization
Citations

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

Fields of papers citing papers by Nina Lohmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Lohmann

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Lohmann. A scholar is included among the top collaborators of Nina Lohmann 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 Nina Lohmann. Nina Lohmann 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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