Christopher Jacobs

2.3k citations
26 papers · 873 · h-index 15

Impact in

Papers in

    • Bioinformatics and Genomic Networks 2
    • Adipokines, Inflammation, and Metabolic Diseases 5
    • Preterm Birth and Chorioamnionitis 2

Christopher Jacobs

24 papers receiving 858 citations

Peers

Christopher Jacobs
Comparison fields: 5 of 95
  • Physiology 265
  • Rehabilitation 62
  • Endocrinology, Diabetes and Metabolism 110
  • Epidemiology 184
  • Cancer Research 77
Replace Jillian L. Rourke with:
Jillian L. Rourke Canada
Ildikó Kasza United States
Mariko Inoue Japan
Hong Zhu China
Anindita Sen United States
Olga T. Gupta United States
Heather L. Caslin United States
Katre Maasalu Estonia
Matthias Laudes Germany
Marie-Therese Rached United States
Christopher Jacobs relative to Jillian L. Rourke Canada Jillian L. Rourke's profile →
Citations per field
00.5×3.5×
Jillian L. Rourke · 1×
Citations per year

Countries citing papers authored by Christopher Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005221
2 2018171
3 200166
4 202163
5 201349
6 202144
7 200839
8 202035
9 202127
10 202123
11 202322
12 201720
13 201019
14 202418
15 202316
16 201010
17 20177
18 20256
19 20245
20 20243

About Christopher Jacobs

Christopher Jacobs is a scholar working on Molecular Biology, Epidemiology, Physiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 26 papers that have together received 873 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Exercise and Physiological Responses (3 papers), Preterm Birth and Chorioamnionitis (2 papers), Pregnancy and preeclampsia studies (2 papers), Lymphatic System and Diseases (2 papers), Genetic and Kidney Cyst Diseases (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Physiology (265 citations), Rehabilitation (62 citations), Endocrinology, Diabetes and Metabolism (110 citations), Epidemiology (184 citations) and Cancer Research (77 citations). Christopher Jacobs has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Evan D. Rosen, Linus Tsai, Sharon Prince, Emily Foulstone, James M. Harper, David N. Church, A. Bassim Hassan, Manju Kumari, Danielle Tenen and Anna Lyubetskaya. Their work appears in journals such as eLife, Cell Metabolism, Molecular Metabolism, Cell Reports and Nature Communications.

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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