Paul A. Lalor

3.1k citations
25 papers · 2.6k indexed · 1 hit paper · h-index 19
Topics
T-cell and B-cell Immunology (15 papers)Monoclonal and Polyclonal Antibodies Research (10 papers)Immune Cell Function and Interaction (8 papers)

In The Last Decade

Paul A. Lalor

24 papers receiving 2.5k citations

Hit Papers

The LY‐1B Cell Lineage19862026199920121986100200300400500

Peers

Paul A. Lalor
Comparison fields: 5 of 80
  • Immunology 2.0k
  • Radiology, Nuclear Medicine and Imaging 600
  • Molecular Biology 489
  • Oncology 187
  • Genetics 177
Replace Eva Severinson with:
Eva Severinson Sweden
Suzanne B. Hartley United States
Louise J. McHeyzer‐Williams United States
E. GRONOWICZ Sweden
Deno P. Dialynas United States
Mary T. Crowley United States
Tim Manser United States
Danielle T. Avery Australia
W Roeder United States
Chamorro Somoza United Kingdom
Paul A. Lalor relative to Eva Severinson Sweden Eva Severinson's profile →
Citations per field
00.5×1.5×
Eva Severinson · 1×
Citations per year

Countries citing papers authored by Paul A. Lalor

Since Specialization
Citations

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

Fields of papers citing papers by Paul A. Lalor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul A. Lalor

This figure shows the co-authorship network connecting the top 25 collaborators of Paul A. Lalor. A scholar is included among the top collaborators of Paul A. Lalor 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 Paul A. Lalor. Paul A. Lalor 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
#WorkIndexed citations
1 263
2 141
3 9
4 14
5 131
6 36
7 69
8 49
9 2
10 329
11 97
12 290
13 3
14
Towards a Palestinian Entity
1
15 134
16 33
17
The LY‐1B Cell Lineagebreakdown →
521
18 79
19 55
20 36

About Paul A. Lalor

Paul A. Lalor is a scholar working on Immunology, Parasitology and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 2.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (15 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Immunology (2.0k citations), Parasitology (173 citations) and Radiology, Nuclear Medicine and Imaging (600 citations). Paul A. Lalor has collaborated with scholars based in United States, Australia and Kenya. Frequent co-authors include Alan M. Stall, Michael G. McHeyzer‐Williams, Ralph D. Sanderson, Merton Bernfield, Leonore A. Herzenberg, Sharon Adams, C L Sidman, Wayne Moore, Leonard A. Herzenberg and David R. Parks. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

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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