Janet Siebert

2.0k citations
41 papers · 1.2k · h-index 17

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Gut microbiota and health 5
    • Single-cell and spatial transcriptomics 4
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 4

Janet Siebert

40 papers receiving 1.2k citations

Peers

Janet Siebert
Comparison fields: 5 of 87
  • Immunology 547
  • Oncology 498
  • Biological Psychiatry 14
  • Transplantation 12
  • Pulmonary and Respiratory Medicine 120
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Citations per field
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Citations per year

Countries citing papers authored by Janet Siebert

Since Specialization
Citations

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

Fields of papers citing papers by Janet Siebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016306
2 2012249
3 201577
4 201946
5 202144
6 202144
7 201042
8 200738
9 201836
10 201626
11 201026
12 200924
13 200723
14 201121
15 201620
16 201719
17 201716
18 202216
19 201016
20 202112

About Janet Siebert

Janet Siebert is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Physiology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes and associated disorders (5 papers), Gut microbiota and health (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (4 papers), Single-cell and spatial transcriptomics (4 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Immunology (547 citations), Oncology (498 citations), Biological Psychiatry (14 citations), Transplantation (12 citations) and Pulmonary and Respiratory Medicine (120 citations). Janet Siebert has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Edwin Walker, Holden T. Maecker, Roxanne Payne, Todd Coffey, William L. Miller, Brendan D. Curti, Steven K. Seung, Walter J. Urba, Marka R. Crittenden and Thinle Chodon. Their work appears in journals such as Journal of Translational Medicine, PLoS ONE, The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and Obesity.

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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