Rachel Silk

1.6k total citations
25 papers, 618 citations indexed

About

Rachel Silk is a scholar working on Hepatology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Rachel Silk has authored 25 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hepatology, 17 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Rachel Silk's work include Hepatitis C virus research (18 papers), Liver Disease Diagnosis and Treatment (8 papers) and HIV, Drug Use, Sexual Risk (7 papers). Rachel Silk is often cited by papers focused on Hepatitis C virus research (18 papers), Liver Disease Diagnosis and Treatment (8 papers) and HIV, Drug Use, Sexual Risk (7 papers). Rachel Silk collaborates with scholars based in United States and Nigeria. Rachel Silk's co-authors include Henry Masur, Shyam Kottilil, Chloe Gross, Sarah Kattakuzhy, Elana Rosenthal, Anu Osinusi, Anita Kohli, Amy Nelson, Gebeyehu Teferi and Elizabeth Akoth and has published in prestigious journals such as Annals of Internal Medicine, Clinical Infectious Diseases and The Journal of Infectious Diseases.

In The Last Decade

Rachel Silk

23 papers receiving 596 citations

Peers

Rachel Silk
Comparison fields: 5 of 48
  • Hepatology 555
  • Epidemiology 514
  • Infectious Diseases 121
  • Public Health, Environmental and Occupational Health 34
  • Endocrinology, Diabetes and Metabolism 28
Replace Chloe Gross with:
Chloe Gross United States
Bożena Walewska‐Zielecka Poland
Mina Kabiri United States
Maryam Darvishian Canada
Marla A. Shu United States
Antonio Carlotto Italy
Colina Yim Canada
Heather Valerio Australia
Thierry Fontanges France
Mohamed AbdAllah Egypt
Chloe Gross United States View profile →
Citations per field, relative to Rachel Silk
Rachel Silk · 1×
Citations per year, relative to Rachel Silk
Rachel Silk · 1×

Countries citing papers authored by Rachel Silk

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Silk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Silk

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Silk. A scholar is included among the top collaborators of Rachel Silk 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 Rachel Silk. Rachel Silk 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 2
2 1
3 3
4 8
5 1
6 82
7 1
8 0
9 16
10 4
11 1
12 28
13 4
14 50
15 117
16 38
17 58
18 6
19 7
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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