Jennifer Johnson

2.9k citations
51 papers · 2.2k indexed · h-index 23
Topics
Blood Coagulation and Thrombosis Mechanisms (6 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers)Epigenetics and DNA Methylation (5 papers)

In The Last Decade

Jennifer Johnson

47 papers receiving 2.1k citations

Peers

Jennifer Johnson
Comparison fields: 5 of 138
  • Molecular Biology 868
  • Cardiology and Cardiovascular Medicine 386
  • Biomedical Engineering 243
  • Genetics 214
  • Immunology 207
Replace Takao Kimura with:
Takao Kimura Japan
Hye‐Jeong Park South Korea
Takashi Minowa Japan
Ivarne L.S. Tersariol Brazil
Stephen C. Hyde United Kingdom
Peter K. Working United States
Margaret Liu United States
Cheng Liu China
Chih‐Ching Wu Taiwan
Yi Zeng China
Jennifer Johnson relative to Takao Kimura Japan Takao Kimura's profile →
Citations per field
00.5×3.9×
Takao Kimura · 1×
Citations per year

Countries citing papers authored by Jennifer Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Johnson. A scholar is included among the top collaborators of Jennifer Johnson 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 Jennifer Johnson. Jennifer Johnson 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 0
3 5
4 0
5 6
6 15
7 2
8 41
9 23
10 5
11 16
12 31
13 4
14 84
15 18
16 14
17
Heritability of acoustic signalling time in the Texas field cricket, Gryllus texensis
7
18 34
19 43
20 21

About Jennifer Johnson

Jennifer Johnson is a scholar working on Biotechnology, Genetics and Hematology, having authored 51 papers that have together received 2.2k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Biotechnology (199 citations), Cardiology and Cardiovascular Medicine (386 citations) and Virology (66 citations). Jennifer Johnson has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Gang‐Ping Xue, Brian P. Dalrymple, Chunling Chen, James R. Baker, Anna U. Bielinska, Norberto C. González, John G. Wood, Leone Mattioli, Henry R. Halperin and Christophe Leclercq. Their work appears in journals such as Nature, Nucleic Acids Research and Circulation.

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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