Sarah Knerr

555 citations
39 papers · 353 indexed · h-index 11

Impact in

Papers in

Sarah Knerr

37 papers receiving 338 citations

Peers

Sarah Knerr
Comparison fields: 5 of 75
  • Genetics 158
  • Public Health, Environmental and Occupational Health 101
  • Computer Vision and Pattern Recognition 51
  • Oncology 63
  • Media Technology 19
Replace Fariborz Mokarian with:
Fariborz Mokarian Iran
Norlia Abdullah Malaysia
Pamela Chart Canada
Vasiliki Rahimzadeh United States
Dmitriy Babichenko United States
Deevakar Rogith United States
Michaela Th. Mayrhofer Netherlands
Frank C. Day United States
Amelia K. Smit Australia
Mariam Hassan United States
Sarah Knerr relative to Fariborz Mokarian Iran Fariborz Mokarian's profile →
Citations per field
00.5×6.3×
Fariborz Mokarian · 1×
Citations per year

Countries citing papers authored by Sarah Knerr

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Knerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20232
3 20231
4 202314
5 202215
6 202119
7 20212
8 20212
9 20208
10 20202
11 20206
12 20170
13 20179
14 201511
15 201510
16 20155
17 201219
18 201132
19 20107
20 200811

About Sarah Knerr

Sarah Knerr is a scholar working on Genetics, Information Systems and Management, Pharmacy, Applied Psychology and Oncology, having authored 39 papers that have together received 353 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (21 papers), Genomics and Rare Diseases (7 papers), Global Cancer Incidence and Screening (7 papers), Ethics in Clinical Research (7 papers), Genetic factors in colorectal cancer (6 papers), Race, Genetics, and Society (6 papers), Prenatal Screening and Diagnostics (5 papers) and Interdisciplinary Research and Collaboration (3 papers). The work is most often cited by research in Genetics (158 citations), Public Health, Environmental and Occupational Health (101 citations), Computer Vision and Pattern Recognition (51 citations), Oncology (63 citations) and Media Technology (19 citations). Sarah Knerr has collaborated with scholars based in United States, Taiwan and Russia. Frequent co-authors include Vence L. Bonham, Stephanie M. Fullerton, Don K. Price, J.-C. Simon, Karen J. Wernli, Rachel M. Ceballos, Sarah D. Hohl, Hongyuan Gao, Erin J. Aiello Bowles and Kathleen A. Leppig. Their work appears in journals such as Contemporary Clinical Trials, Cancer, Research Evaluation, Public Health Genomics and JCO Precision Oncology.

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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