H.W. Mohrenweiser

3.6k total citations · 1 hit paper
63 papers, 3.1k citations indexed

About

H.W. Mohrenweiser is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, H.W. Mohrenweiser has authored 63 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 21 papers in Physiology and 18 papers in Genetics. Recurrent topics in H.W. Mohrenweiser's work include Erythrocyte Function and Pathophysiology (19 papers), Pancreatic function and diabetes (16 papers) and Biochemical and Molecular Research (8 papers). H.W. Mohrenweiser is often cited by papers focused on Erythrocyte Function and Pathophysiology (19 papers), Pancreatic function and diabetes (16 papers) and Biochemical and Molecular Research (8 papers). H.W. Mohrenweiser collaborates with scholars based in United States, France and Brazil. H.W. Mohrenweiser's co-authors include Mei-Ling Shen, James V. Neel, Susan M.G. Hoffman, Zhuming Guo, Sanjay Shete, Xueyan Wu, Christopher I. Amos, Qingyi Wei, Lei Lei and Ying Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

H.W. Mohrenweiser

63 papers receiving 3.0k citations

Hit Papers

Nonconservative amino acid substitution variants exist at... 1998 2026 2007 2016 1998 200 400 600

Peers

H.W. Mohrenweiser
Comparison fields: 5 of 133
  • Molecular Biology 2.0k
  • Cancer Research 728
  • Genetics 600
  • Oncology 493
  • Pathology and Forensic Medicine 369
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Citations per field, relative to H.W. Mohrenweiser
H.W. Mohrenweiser · 1×
Citations per year, relative to H.W. Mohrenweiser
H.W. Mohrenweiser · 1×

Countries citing papers authored by H.W. Mohrenweiser

Since Specialization
Citations

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

Fields of papers citing papers by H.W. Mohrenweiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.W. Mohrenweiser. 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 H.W. Mohrenweiser. The network helps show where H.W. Mohrenweiser may publish in the future.

Co-authorship network of co-authors of H.W. Mohrenweiser

This figure shows the co-authorship network connecting the top 25 collaborators of H.W. Mohrenweiser. A scholar is included among the top collaborators of H.W. Mohrenweiser 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 H.W. Mohrenweiser. H.W. Mohrenweiser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
Polymorphisms In The DNA Repair Gene Xrcc1 And Breast Cancer
214
2 162
3 4
4
The hormone-sensitive lipase (LIPE) gene located on chromosome 19q13.1-->13.2 is not duplicated on 19p13.3.
9
5 395
6 40
7 11
8 21
9 3
10 7
11 4
12 89
13 18
14 15
15 15
16 9
17 44
18
Characterization of ACP1TIC-1, an electrophoretic variant of erythrocyte acid phosphatase restricted to the Ticuna Indians of central Amazonas.
8
19 9
20 3

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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