Nina Lass

1.7k citations
35 papers · 1.3k · h-index 20

Impact in

Papers in

Nina Lass

35 papers receiving 1.3k citations

Peers

Nina Lass
Comparison fields: 5 of 86
  • Reproductive Medicine 196
  • Endocrinology, Diabetes and Metabolism 308
  • Public Health, Environmental and Occupational Health 326
  • Physiology 248
  • Endocrine and Autonomic Systems 49
Replace Karen E. Remsberg with:
Karen E. Remsberg United States
Ellen L. Connor United States
Duru Shah India
Jolanda M. H. Elbers Netherlands
Miquel Gussinyé Spain
A Galvão-Teles Portugal
Rola Saad United States
Young‐Jun Rhie South Korea
Miriam Schocken United States
Edmond P. Wickham United States
Nina Lass relative to Karen E. Remsberg United States Karen E. Remsberg's profile →
Citations per field
00.5×
Karen E. Remsberg · 1×
Citations per year

Countries citing papers authored by Nina Lass

Since Specialization
Citations

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

Fields of papers citing papers by Nina Lass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010134
2 2016128
3 2011108
4 2014107
5 201587
6 201577
7 201467
8 201360
9 201255
10 201251
11 201850
12 201045
13 201443
14 201238
15 201535
16 201633
17 201925
18 201722
19 201720
20 201720

About Nina Lass

Nina Lass is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology and Physiology, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ovarian function and disorders (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Obesity, Physical Activity, Diet (3 papers), Hypothalamic control of reproductive hormones (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Thyroid Disorders and Treatments (2 papers), Adipose Tissue and Metabolism (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Reproductive Medicine (196 citations), Endocrinology, Diabetes and Metabolism (308 citations), Public Health, Environmental and Occupational Health (326 citations), Physiology (248 citations) and Endocrine and Autonomic Systems (49 citations). Nina Lass has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Thomas Reinehr, Barbara Wolters, Michaela Kleber, Juliane Rothermel, Reinhard W. Holl, Caroline Knop, André Michael Toschke, Christian L. Roth, Alexandra Kulle and Paul‐Martin Holterhus. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hormone Research in Paediatrics, Pediatric Diabetes, Endocrine Connections and Clinical Endocrinology.

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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