Jeffrey A. Wiser

1.2k total citations · 1 hit paper
10 papers, 642 citations indexed

About

Jeffrey A. Wiser is a scholar working on Molecular Biology, Immunology and Biophysics. According to data from OpenAlex, Jeffrey A. Wiser has authored 10 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Biophysics. Recurrent topics in Jeffrey A. Wiser's work include Single-cell and spatial transcriptomics (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Cell Image Analysis Techniques (3 papers). Jeffrey A. Wiser is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Cell Image Analysis Techniques (3 papers). Jeffrey A. Wiser collaborates with scholars based in United States, United Kingdom and Israel. Jeffrey A. Wiser's co-authors include Atul J. Butte, Patrick Dunn, Elizabeth Thomson, Sanchita Bhattacharya, Zicheng Hu, Kelly A. Zalocusky, Henry Schaefer, Shai S. Shen-Orr, Jieming Chen and Ravi Shankar and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, Cell Reports and Journal of the American Medical Informatics Association.

In The Last Decade

Jeffrey A. Wiser

9 papers receiving 637 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ImmPort, toward repurposing of open access immunological assay data for translational and clinical research

2018 504 citations Sanchita Bhattacharya, Patrick Dunn et al. Scientific Data profile →

Peers

Jeffrey A. Wiser

MB

PRM

ONCOL

IMMUN

CR

Jeff Wiser United States

Wenchao Gu China

F. Anthony San Lucas United States

Pedro Isaacsson Velho United States

Elizabeth Thomson United States

Lei Song United States

Michelle Bisceglia United States

Anu Venkatesh United States

Simon Patton United Kingdom

Jeff Wiser United States

Jeffrey A. Wiser

318 ×1.0

MB

265 ×1.3

PRM

211 ×1.3

ONCOL

168 ×1.1

IMMUN

161 ×1.1

CR

Citations per year, relative to Jeffrey A. Wiser Jeffrey A. Wiser (= 1×) peers Jeff Wiser

Countries citing papers authored by Jeffrey A. Wiser

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey A. Wiser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey A. Wiser. 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 Jeffrey A. Wiser. The network helps show where Jeffrey A. Wiser may publish in the future.

Co-authorship network of co-authors of Jeffrey A. Wiser

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

All Works

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10 of 10 papers shown

1.

Bhattacharya, Sanchita, Patrick Dunn, Cristel G. Thomas, et al.. (2018). ImmPort, toward repurposing of open access immunological assay data for translational and clinical research. Scientific Data. 5(1). 180015–180015. 504 indexed citations breakdown →

2.

Zalocusky, Kelly A., Matthew J. Kan, Zicheng Hu, et al.. (2018). The 10,000 Immunomes Project: Building a Resource for Human Immunology. Cell Reports. 25(2). 513–522.e3. 38 indexed citations

3.

Kan, Matthew J., Kelly A. Zalocusky, Zicheng Hu, et al.. (2018). The 10,000 Immunomes Project: A Resource for Human Immunology. Journal of Allergy and Clinical Immunology. 141(2). AB269–AB269. 1 indexed citations

4.

González-Beltrán, Alejandra, John P. Campbell, Patrick F. Dunn, et al.. (2017). Data discovery with DATS: exemplar adoptions and lessons learned. Journal of the American Medical Informatics Association. 25(1). 13–16. 4 indexed citations

5.

Nasrallah, Mazen, Yannick Pouliot, Patrick Dunn, et al.. (2015). Reanalysis of the Rituximab in ANCA-Associated Vasculitis trial identifies granulocyte subsets as a novel early marker of successful treatment. Arthritis Research & Therapy. 17(1). 262–262. 22 indexed citations

6.

Dunn, Patrick, Elizabeth Thomson, John P. Campbell, et al.. (2015). ImmPort: Shared research data for bioinformatics and immunology. 607–610. 5 indexed citations

7.

Musen, Mark A., Carol A. Bean, Kei‐Hoi Cheung, et al.. (2015). The center for expanded data annotation and retrieval. Journal of the American Medical Informatics Association. 22(6). 1148–1152. 65 indexed citations

8.

Andorf, Sandra, Jenna Bollyky, Patrick Dunn, et al.. (2014). Towards the characterization of normal peripheral immune cells with data from ImmPort. 749–750. 2 indexed citations

9.

Shankar, Ravi, Sandra Andorf, Sanchita Bhattacharya, Jeffrey A. Wiser, & Atul J. Butte. (2014). RImmPort. 751–751. 1 indexed citations

10.

Mack, Steven J., Nishanth Marthandan, Thomas Smith, et al.. (2011). 200-P The immport ambiguity resolution tool: A frequency-based approach to resolving allelic and genotypic ambiguity in HLA genotype data. Human Immunology. 72. S141–S141.

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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