Kate L. Jeffrey

6.1k citations
33 papers · 3.7k indexed · 2 hit papers · h-index 19
Topics
interferon and immune responses (6 papers)Immunotherapy and Immune Responses (6 papers)Immune responses and vaccinations (5 papers)

In The Last Decade

Kate L. Jeffrey

32 papers receiving 3.7k citations

Hit Papers

Suppression of inflammation by a synthetic histone mimic2010202620152020201020104008001.2k

Peers

Kate L. Jeffrey
Comparison fields: 5 of 117
  • Molecular Biology 2.4k
  • Immunology 1.3k
  • Hematology 491
  • Cancer Research 481
  • Oncology 389
Replace Joost H.A. Martens with:
Joost H.A. Martens Netherlands
Norimitsu Inoue Japan
Dinah S. Singer United States
Mitsuo Maruyama Japan
Hitoshi Nagaoka Japan
Takashi Imai Japan
Judith A. Lippke United States
Chien‐Kuo Lee Taiwan
Brian C. Schaefer United States
Katsuyuki Yui Japan
Kate L. Jeffrey relative to Joost H.A. Martens Netherlands Joost H.A. Martens's profile →
Citations per field
00.5×1.5×
Joost H.A. Martens · 1×
Citations per year

Countries citing papers authored by Kate L. Jeffrey

Since Specialization
Citations

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

Fields of papers citing papers by Kate L. Jeffrey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate L. Jeffrey. 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 Kate L. Jeffrey. The network helps show where Kate L. Jeffrey may publish in the future.

Co-authorship network of co-authors of Kate L. Jeffrey

This figure shows the co-authorship network connecting the top 25 collaborators of Kate L. Jeffrey. A scholar is included among the top collaborators of Kate L. Jeffrey 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 Kate L. Jeffrey. Kate L. Jeffrey 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 3
2 1
3 6
4 5
5 32
6 13
7 10
8 15
9 2
10 30
11 25
12 56
13 146
14 35
15 24
16 46
17 36
18 216
19 368
20 70

About Kate L. Jeffrey

Kate L. Jeffrey is a scholar working on Immunology, Aging and Biological Psychiatry, having authored 33 papers that have together received 3.7k indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Immunotherapy and Immune Responses (6 papers) and Immune responses and vaccinations (5 papers). The work is most often cited by research in Immunology (1.3k citations), Hematology (491 citations) and Molecular Biology (2.4k citations). Kate L. Jeffrey has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Charles R. Mackay, Montserrat Camps, Christian Rommel, Rohit Chandwani, Ivan Marazzi, Rab K. Prinjha, Alexander Tarakhovsky, Scott Dewell, Uwe Schaefer and Paul A. Wilson. Their work appears in journals such as Nature, Science and Cell.

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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