Abigail E. Schiff

411 citations
11 papers · 210 · h-index 8

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Tuberculosis Research and Epidemiology
    • HIV/AIDS Research and Interventions

Papers in

    • COVID-19 Clinical Research Studies 4
    • Tuberculosis Research and Epidemiology 3
    • Pneumocystis jirovecii pneumonia detection and treatment 5
    • Mycobacterium research and diagnosis 1

Abigail E. Schiff

11 papers receiving 205 citations

Peers

Abigail E. Schiff
Comparison fields: 5 of 57
  • Virology 38
  • Infectious Diseases 127
  • Immunology 47
  • Neurology 29
  • Epidemiology 59
Replace Tianjun Jiang with:
Tianjun Jiang China
Ashwini Shete India
Matteo Augello Italy
Agnieszka Bednarska Poland
Fatima Barmania South Africa
Thomas Scheier Switzerland
Anbalagan Selvaraj India
Enzo Raise Italy
Maria Grazia Colao Italy
Parisa Shiri Aghbash Iran
Abigail E. Schiff relative to Tianjun Jiang China Tianjun Jiang's profile →
Citations per field
00.5×1.5×
Tianjun Jiang · 1×
Citations per year

Countries citing papers authored by Abigail E. Schiff

Since Specialization
Citations

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

Fields of papers citing papers by Abigail E. Schiff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abigail E. Schiff. 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 Abigail E. Schiff. The network helps show where Abigail E. Schiff may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 202092
2 201928
3 202125
4 202014
5 202112
6 202311
7 201711
8 20237
9 20215
10 20233
11 20242

About Abigail E. Schiff

Abigail E. Schiff is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Virology and Neurology, having authored 11 papers that have together received 210 indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (5 papers), COVID-19 Clinical Research Studies (4 papers), HIV Research and Treatment (3 papers), Tuberculosis Research and Epidemiology (3 papers), Long-Term Effects of COVID-19 (2 papers), Single-cell and spatial transcriptomics (1 paper), Antimicrobial Peptides and Activities (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Virology (38 citations), Infectious Diseases (127 citations), Immunology (47 citations), Neurology (29 citations) and Epidemiology (59 citations). Abigail E. Schiff has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Blake Oberfeld, Pamela Chen, Shiv Pillai, Amy K. Barczak, Pinky Langat, Allen S. Zhou, Jordan T. Said, Douglas S. Kwon, Björn Corleis and Benjamin D. Medoff. Their work appears in journals such as Science Translational Medicine, Scientific Reports, Journal of Immigrant and Minority Health, Frontiers in Immunology and Cell 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.

Explore authors with similar magnitude of impact