Lisa Shah

1.4k citations
45 papers · 899 indexed · h-index 15
Topics
BRCA gene mutations in cancer (8 papers)Genomics and Rare Diseases (5 papers)Diabetes Management and Research (5 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaScientific Reports
Partner nations
United StatesIndiaCanada

In The Last Decade

Lisa Shah

42 papers receiving 874 citations

Peers

Lisa Shah
Comparison fields: 5 of 108
  • Molecular Biology 260
  • Genetics 198
  • Oncology 195
  • Cancer Research 146
  • Public Health, Environmental and Occupational Health 120
Replace Gregory F. Guzauskas with:
Gregory F. Guzauskas United States
Karon Abe United States
Mahera Abdulrahman United Arab Emirates
Martin Buess Switzerland
Jennifer T. Loud United States
Berna C. Özdemir Switzerland
Navid Sadeghi United States
Logan C. Walker New Zealand
Jessica M. Faupel‐Badger United States
Lisa Shah relative to Gregory F. Guzauskas United States Gregory F. Guzauskas's profile →
Citations per field
00.5×
Gregory F. Guzauskas · 1×
Citations per year

Countries citing papers authored by Lisa Shah

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Shah. A scholar is included among the top collaborators of Lisa Shah 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 Lisa Shah. Lisa Shah 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
#WorkIndexed citations
1 2
2 1
3 12
4 5
5 13
6 31
7 21
8 16
9 17
10 8
11 15
12 6
13 16
14 65
15 21
16 5
17 9
18 16
19 1
20 4

About Lisa Shah

Lisa Shah is a scholar working on Endocrinology, Diabetes and Metabolism, Issues, ethics and legal aspects and Genetics, having authored 45 papers that have together received 899 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (8 papers), Genomics and Rare Diseases (5 papers) and Diabetes Management and Research (5 papers). The work is most often cited by research in Cancer Research (146 citations), Genetics (100 citations) and Hematology (94 citations). Lisa Shah has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Susan M. Ludeman, James B. Springer, Clayton A. Smith, Robert W. Storms, O. Michael Colvin, Sandra Daack‐Hirsch, Martha Driessnack, Paramesh Shamanna, Vanessa Johnson and Asaf Hanish. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

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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