William M. Leiserson

2.1k total citations
34 papers, 1.8k citations indexed

About

William M. Leiserson is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, William M. Leiserson has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 12 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Molecular Biology. Recurrent topics in William M. Leiserson's work include Monoclonal and Polyclonal Antibodies Research (12 papers), T-cell and B-cell Immunology (10 papers) and Immune Cell Function and Interaction (6 papers). William M. Leiserson is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), T-cell and B-cell Immunology (10 papers) and Immune Cell Function and Interaction (6 papers). William M. Leiserson collaborates with scholars based in United States, Switzerland and Austria. William M. Leiserson's co-authors include Nancy M. Bonini, Seymour Benzer, Thomas M. Chused, Haig Keshishian, Harald von Boehmer, Paweł Kisielow, Vijaya Manohar, Charles E. Leiserson, Yuxiong He and Richard Asofsky and has published in prestigious journals such as Cell, Neuron and The Journal of Experimental Medicine.

In The Last Decade

William M. Leiserson

34 papers receiving 1.7k citations

Peers

William M. Leiserson
Comparison fields: 5 of 105
  • Molecular Biology 766
  • Immunology 702
  • Cellular and Molecular Neuroscience 323
  • Radiology, Nuclear Medicine and Imaging 261
  • Genetics 216
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Tobias Knoch Germany View profile →
Citations per field, relative to William M. Leiserson
William M. Leiserson · 1×
Citations per year, relative to William M. Leiserson
William M. Leiserson · 1×

Countries citing papers authored by William M. Leiserson

Since Specialization
Citations

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

Fields of papers citing papers by William M. Leiserson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M. Leiserson. 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 William M. Leiserson. The network helps show where William M. Leiserson may publish in the future.

Co-authorship network of co-authors of William M. Leiserson

This figure shows the co-authorship network connecting the top 25 collaborators of William M. Leiserson. A scholar is included among the top collaborators of William M. Leiserson 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 William M. Leiserson. William M. Leiserson 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
# Work Indexed citations
1 14
2 14
3 51
4 72
5 39
6 104
7 100
8 52
9 483
10 6
11 9
12
Differentiation of B lymphocytes in sheep. I. Phenotypic analysis of ileal Peyer's patch cells and the demonstration of a precursor population for sIg+ cells in the ileal Peyer's patches.
21
13 119
14 7
15 60
16 26
17 2
18 17
19 126
20 173

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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