Andrew J. Long

8.7k citations
11 papers · 4.6k indexed · 2 hit papers · h-index 8

Andrew J. Long

10 papers receiving 4.5k citations

Hit Papers

In vitro and in vivo char...276200020262008201710002.0k3.0k4.0k

Peers

Andrew J. Long
Comparison fields: 5 of 98
  • Immunology 2.8k
  • Oncology 2.9k
  • Genetics 217
  • Hematology 177
  • Pulmonary and Respiratory Medicine 481
Replace Ryan Emerson with:
Ryan Emerson United States
Yasutoshi Agata Japan
Sophie Lucas Belgium
Michael Bowman United States
Jeong Kim United States
Cora D. Arthur United States
Silvia Lonardi Italy
Bertrand Huard Switzerland
Thomas A. Davis United States
Ekaterina S. Jordanova Netherlands
Andrew J. Long relative to Ryan Emerson United States Ryan Emerson's profile →
Citations per field
00.5×1.5×
Ryan Emerson · 1×
Citations per year

Countries citing papers authored by Andrew J. Long

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Long. 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 Andrew J. Long. The network helps show where Andrew J. Long may publish in the future.

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 20240
2 202219
3 202031
4 201913
5 201913
6
In vitro and in vivo characterization of the JAK1 selectivity of upadacitinib (ABT-494)breakdown →
2018276
7 201826
8 20165
9 20152
10
Engagement of the Pd-1 Immunoinhibitory Receptor by a Novel B7 Family Member Leads to Negative Regulation of Lymphocyte Activationbreakdown →
20004158
11 199735

About Andrew J. Long

Andrew J. Long is a scholar working on Genetics, Immunology and Rheumatology, having authored 11 papers that have together received 4.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immune Cell Function and Interaction (3 papers), Systemic Lupus Erythematosus Research (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Immunology (2.8k citations), Oncology (2.9k citations) and Genetics (217 citations). Andrew J. Long has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include Lori Fitz, Clive R. Wood, Beatriz M. Carreno, Tasuku Honjo, Hiroyuki Nishimura, Vincent Ling, Heidi F. Horton, Mary Collins, Michael C. Byrne and Taku Okazaki. Their work appears in journals such as The Journal of Experimental Medicine, Oncogene and Frontiers in Immunology.

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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