Jacqueline Douglass

1.8k citations
23 papers · 811 indexed · h-index 10
Topics
Monoclonal and Polyclonal Antibodies Research (12 papers)CAR-T cell therapy research (6 papers)Immunotherapy and Immune Responses (5 papers)

In The Last Decade

Jacqueline Douglass

21 papers receiving 794 citations

Peers

Jacqueline Douglass
Comparison fields: 5 of 77
  • Oncology 497
  • Immunology 271
  • Molecular Biology 258
  • Pulmonary and Respiratory Medicine 257
  • Biomedical Engineering 111
Replace Jonas R.M. Van Audenaerde with:
Jonas R.M. Van Audenaerde Belgium
William R. Gwin United States
Neha Papneja Canada
Kavitha Balaji United States
Tao Shi China
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David J. Zahavi United States
Chuanhui Han United States
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Jacqueline Douglass relative to Jonas R.M. Van Audenaerde Belgium Jonas R.M. Van Audenaerde's profile →
Citations per field
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Jonas R.M. Van Audenaerde · 1×
Citations per year

Countries citing papers authored by Jacqueline Douglass

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Douglass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Douglass

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline Douglass. A scholar is included among the top collaborators of Jacqueline Douglass 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 Jacqueline Douglass. Jacqueline Douglass 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 5
2 1
3 5
4 112
5 29
6 46
7 1
8 14
9 102
10 0
11 1
12 245
13 2
14 8
15 3
16 10
17 57
18
Chloramphenicol-specific antibody. IV. Neutralization of antibiotic effect on Escherichia coli.
5
19
Chloramphenicol-specific antibody. II. Reactivity to analogues of chloramphenicol.
9
20
Chloramphenicol-specific antibody. 3. Differential antibody decay rates to separate determinants on one antigen.
4

About Jacqueline Douglass

Jacqueline Douglass is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Virology, having authored 23 papers that have together received 811 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), CAR-T cell therapy research (6 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Oncology (497 citations), Immunology (271 citations) and Pulmonary and Respiratory Medicine (257 citations). Jacqueline Douglass has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Chetan Bettegowda, Bert Vogelstein, Kenneth W. Kinzler, Shibin Zhou, Michael Lim, Lawrence Kleinberg, Kristin J. Redmond, William H. Sharfman, Evan J. Lipson and Xiaobu Ye. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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