Jacob Kach

1.5k citations
21 papers · 1.1k · h-index 15

Impact in

Papers in

Jacob Kach

20 papers receiving 1.1k citations

Peers

Jacob Kach
Comparison fields: 5 of 91
  • Pulmonary and Respiratory Medicine 337
  • Sensory Systems 52
  • Cell Biology 167
  • Cancer Research 130
  • Molecular Biology 628
Replace Pamela Plant with:
Pamela Plant Canada
Malika Arhatte France
Thomas Jöns Germany
Masanori Naito Japan
Miao-Hsueh Chen United States
M Farrall United Kingdom
Laurence Delacroix Belgium
Gayle B. Collin United States
Melanie K. Webster United States
K. Tanzawa Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jacob Kach

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Kach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006261
2 2014216
3 2020146
4 201183
5 201678
6 201561
7 201346
8 201239
9 201738
10 201436
11 200929
12 201323
13 201519
14
Molecular analysis of CD133-positive circulating tumor cells from patients with metastatic castration-resistant prostate cancer.
201517
15 201315
16 20138
17 20246
18
Antisense oligonucleotide mediated increase of OPA1 expression using TANGO technology for the treatment of autosomal dominant optic atrophy
20203
19 20111
20 20161

About Jacob Kach

Jacob Kach is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Genetics, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (5 papers), Cancer, Lipids, and Metabolism (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Estrogen and related hormone effects (3 papers), Peptidase Inhibition and Analysis (3 papers), Hormonal and reproductive studies (2 papers), Pulmonary Hypertension Research and Treatments (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (337 citations), Sensory Systems (52 citations), Cell Biology (167 citations), Cancer Research (130 citations) and Molecular Biology (628 citations). Jacob Kach has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Russell Z. Szmulewitz, Suzanne D. Conzen, Nickolai O. Dulin, Donald J. Vander Griend, Masis Isikbay, Steven Kregel, Nathan Sandbo, Yi Cai, Kristen Otto and Caitlyn Ngam. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Journal of Biological Chemistry, Nature Communications, Journal of Clinical Oncology and Acta Zoologica.

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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