Jerrold Schwaber

834 total citations
34 papers, 663 citations indexed

About

Jerrold Schwaber is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Jerrold Schwaber has authored 34 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Immunology, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Molecular Biology. Recurrent topics in Jerrold Schwaber's work include Immunodeficiency and Autoimmune Disorders (22 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Chronic Lymphocytic Leukemia Research (9 papers). Jerrold Schwaber is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (22 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Chronic Lymphocytic Leukemia Research (9 papers). Jerrold Schwaber collaborates with scholars based in United States, Sweden and United Kingdom. Jerrold Schwaber's co-authors include Fred S. Rosen, Edward P. Cohen, Sallie O. Hoch, Herbert Lazarus, Peter H. Schur, Raif S. Geha, Richard L. Siegel, Thomas B. Issekutz, Hannah J. Gould and H. V. Molgaard and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Jerrold Schwaber

34 papers receiving 572 citations

Peers

Jerrold Schwaber
Comparison fields: 5 of 63
  • Immunology 483
  • Radiology, Nuclear Medicine and Imaging 266
  • Molecular Biology 201
  • Genetics 125
  • Genetics 118
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Citations per field, relative to Jerrold Schwaber
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Citations per year, relative to Jerrold Schwaber
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Countries citing papers authored by Jerrold Schwaber

Since Specialization
Citations

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

Fields of papers citing papers by Jerrold Schwaber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jerrold Schwaber. 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 Jerrold Schwaber. The network helps show where Jerrold Schwaber may publish in the future.

Co-authorship network of co-authors of Jerrold Schwaber

This figure shows the co-authorship network connecting the top 25 collaborators of Jerrold Schwaber. A scholar is included among the top collaborators of Jerrold Schwaber 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 Jerrold Schwaber. Jerrold Schwaber 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 6
2 11
3 5
4 1
5 4
6 4
7
X chromosome linked immunodeficiency.
8
8 17
9 8
10 11
11 64
12 9
13
Lymphoid cell lines from patients with "non-secretory" agammaglobulinemia produce glycosylated heavy chains which are reduced in molecular weight.
3
14 51
15 2
16 10
17 17
18 41
19 8
20 26

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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