Joy Kahn

2.3k citations
29 papers · 1.9k · 1 hit paper · h-index 22

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
  • Hepatology top 5%
    • Liver physiology and pathology

Papers in

Joy Kahn

29 papers receiving 1.9k citations

Joy Kahn's Hit Papers

HGF, SDF-1, and MMP-9 are involved in stress-induced human CD34+ stem cell recruitment to the liver 2003 · 513 citations
5130+7+15Years since publication100200300400500

Peers

Joy Kahn
Comparison fields: 5 of 95
  • Genetics 315
  • Hepatology 185
  • Hematology 251
  • Immunology 340
  • Cellular and Molecular Neuroscience 267
Replace Odile deLapeyrière with:
Odile deLapeyrière France
Melissa C. Colbert United States
Susanne Adams Germany
Mingyao Ying United States
Joseph H. McCarty United States
Michael G. Poulos United States
Hideyuki Beppu United States
Patrick A. Boland Ireland
Timothy R. Brazelton United States
Inga Sörensen Germany
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Citations per field
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Citations per year

Countries citing papers authored by Joy Kahn

Since Specialization
Citations

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

Fields of papers citing papers by Joy Kahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
HGF, SDF-1, and MMP-9 are involved in stress-induced human CD34+ stem cell recruitment to the liver
Hit paper breakdown →
2003513
2 2009212
3 2003203
4 2002138
5 201978
6 201270
7 201769
8 200956
9 200655
10 201855
11 200345
12 201143
13 201636
14 202135
15 201135
16 201134
17 201933
18 201233
19 201232
20 201526

About Joy Kahn

Joy Kahn is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Immunology and Oncology, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Macrophage Migration Inhibitory Factor (5 papers), Cellular transport and secretion (4 papers), Trace Elements in Health (4 papers), Nuclear Receptors and Signaling (4 papers), Ion channel regulation and function (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Genetics (315 citations), Hepatology (185 citations), Hematology (251 citations), Immunology (340 citations) and Cellular and Molecular Neuroscience (267 citations). Joy Kahn has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Tsvee Lapidot, Arnon Nagler, Adrian Israelson, Izhar Hardan, Shoham Shivtiel, Órit Kollet, Sarit Samira, Ayelet Dar, Daniel Gitler and Polina Goichberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood, Journal of Neuroscience, Journal of Clinical Investigation and Journal of Molecular Medicine.

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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