Hannah M. Brown

2.3k total citations
45 papers, 1.7k citations indexed

About

Hannah M. Brown is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Hannah M. Brown has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Public Health, Environmental and Occupational Health, 16 papers in Molecular Biology and 9 papers in Reproductive Medicine. Recurrent topics in Hannah M. Brown's work include Reproductive Biology and Fertility (21 papers), Reproductive System and Pregnancy (6 papers) and Sperm and Testicular Function (5 papers). Hannah M. Brown is often cited by papers focused on Reproductive Biology and Fertility (21 papers), Reproductive System and Pregnancy (6 papers) and Sperm and Testicular Function (5 papers). Hannah M. Brown collaborates with scholars based in Australia, United States and France. Hannah M. Brown's co-authors include Darryl L. Russell, Jeremy G. Thompson, Kylie R. Dunning, Rebecca L. Robker, Sarah A. Robertson, Robert B. Gilchrist, Melanie Pritchard, Kerrilyn R. Diener, Wendy V. Ingman and Alison S. Care and has published in prestigious journals such as Journal of Clinical Investigation, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Hannah M. Brown

41 papers receiving 1.7k citations

Peers

Hannah M. Brown
Comparison fields: 5 of 125
  • Public Health, Environmental and Occupational Health 765
  • Molecular Biology 610
  • Reproductive Medicine 538
  • Immunology 439
  • Genetics 329
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Emily B. Cullinan United States
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Aritro Sen United States View profile →
Citations per field, relative to Hannah M. Brown
Hannah M. Brown · 1×
Citations per year, relative to Hannah M. Brown
Hannah M. Brown · 1×

Countries citing papers authored by Hannah M. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Hannah M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah M. Brown. 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 Hannah M. Brown. The network helps show where Hannah M. Brown may publish in the future.

Co-authorship network of co-authors of Hannah M. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah M. Brown. A scholar is included among the top collaborators of Hannah M. Brown 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 Hannah M. Brown. Hannah M. Brown 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 0
2 0
3 0
4 1
5 7
6 9
7 13
8 5
9 92
10 42
11 161
12 67
13 28
14 51
15 57
16 19
17 25
18 72
19 24
20 106

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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