Amy Li Yang

403 total citations
9 papers, 340 citations indexed

About

Amy Li Yang is a scholar working on Infectious Diseases, Immunology and Epidemiology. According to data from OpenAlex, Amy Li Yang has authored 9 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 5 papers in Immunology and 4 papers in Epidemiology. Recurrent topics in Amy Li Yang's work include Tuberculosis Research and Epidemiology (8 papers), Immune responses and vaccinations (4 papers) and Mycobacterium research and diagnosis (4 papers). Amy Li Yang is often cited by papers focused on Tuberculosis Research and Epidemiology (8 papers), Immune responses and vaccinations (4 papers) and Mycobacterium research and diagnosis (4 papers). Amy Li Yang collaborates with scholars based in United States. Amy Li Yang's co-authors include Steven C. Derrick, Sheldon L. Morris, Kristopher Kolibab, Jaehyun Lim, Marcela Parra, Philip Snoy, Liyanage P. Perera, William R. Jacobs, Bo‐Young Jeon and Barry N. Kreiswirth and has published in prestigious journals such as Gastroenterology, Infection and Immunity and Vaccine.

In The Last Decade

Amy Li Yang

9 papers receiving 338 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amy Li Yang United States 8 301 206 180 68 51 9 340
Laura Geffner Argentina 10 244 0.8× 220 1.1× 184 1.0× 45 0.7× 48 0.9× 13 375
María Mercedes Romero Argentina 11 268 0.9× 235 1.1× 192 1.1× 56 0.8× 46 0.9× 15 397
Patricia S. Grace United States 7 372 1.2× 258 1.3× 214 1.2× 118 1.7× 48 0.9× 12 460
Christine T. McFarland United States 8 232 0.8× 152 0.7× 143 0.8× 45 0.7× 70 1.4× 9 317
Albanus O. Moguche United States 7 230 0.8× 292 1.4× 132 0.7× 74 1.1× 28 0.5× 8 433
A. A. Grover United States 6 289 1.0× 165 0.8× 176 1.0× 37 0.5× 67 1.3× 8 377
Glenna J. Peterson United States 11 194 0.6× 120 0.6× 140 0.8× 89 1.3× 22 0.4× 22 298
Marc Rodrigue France 6 243 0.8× 72 0.3× 192 1.1× 94 1.4× 91 1.8× 10 319
Sayma Rahman Sweden 7 227 0.8× 148 0.7× 147 0.8× 54 0.8× 72 1.4× 8 341
Venkata Ramanarao Parasa Sweden 9 145 0.5× 177 0.9× 93 0.5× 63 0.9× 36 0.7× 13 342

Countries citing papers authored by Amy Li Yang

Since Specialization
Citations

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

Fields of papers citing papers by Amy Li Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy Li Yang. 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 Amy Li Yang. The network helps show where Amy Li Yang may publish in the future.

Co-authorship network of co-authors of Amy Li Yang

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

All Works

9 of 9 papers shown
1.
Yang, Amy Li, Thomas Schmidt, Scott Stibitz, et al.. (2016). A simplified mycobacterial growth inhibition assay (MGIA) using direct infection of mouse splenocytes and the MGIT system. Journal of Microbiological Methods. 131. 7–9. 13 indexed citations
2.
Yan, Ming, et al.. (2012). Mo1791 MyD88 Has a Key Role for OLFM4, a Novel Anti-Inflammatory Mediator in H. pylori Infection. Gastroenterology. 142(5). S–686. 1 indexed citations
3.
Parra, Marcela, Amy Li Yang, Jaehyun Lim, et al.. (2009). Development of a Murine Mycobacterial Growth Inhibition Assay for Evaluating Vaccines againstMycobacterium tuberculosis. Clinical and Vaccine Immunology. 16(7). 1025–1032. 55 indexed citations
4.
Kolibab, Kristopher, Marcela Parra, Amy Li Yang, et al.. (2009). A practical in vitro growth inhibition assay for the evaluation of TB vaccines. Vaccine. 28(2). 317–322. 27 indexed citations
5.
Lim, Jaehyun, Steven C. Derrick, Kristopher Kolibab, et al.. (2008). Early Pulmonary Cytokine and Chemokine Responses in Mice Immunized with Three Different Vaccines againstMycobacterium tuberculosisDetermined by PCR Array. Clinical and Vaccine Immunology. 16(1). 122–126. 26 indexed citations
6.
Jeon, Bo‐Young, Steven C. Derrick, Jaehyun Lim, et al.. (2008). Mycobacterium bovisBCG Immunization Induces Protective Immunity against Nine DifferentMycobacterium tuberculosisStrains in Mice. Infection and Immunity. 76(11). 5173–5180. 66 indexed citations
7.
Derrick, Steven C., Amy Li Yang, & Sheldon L. Morris. (2005). Vaccination with a Sindbis Virus-Based DNA Vaccine Expressing Antigen 85B Induces Protective Immunity against Mycobacterium tuberculosis. Infection and Immunity. 73(11). 7727–7735. 16 indexed citations
8.
Derrick, Steven C., et al.. (2004). Immunization with a DNA Vaccine Cocktail Protects Mice Lacking CD4 Cells against an Aerogenic Infection withMycobacterium tuberculosis. Infection and Immunity. 72(3). 1685–1692. 57 indexed citations

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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