Jack Ham

22 papers receiving 508 citations

Peers

Jack Ham
Comparison fields: 5 of 73
  • Physiology 191
  • Transplantation 20
  • Endocrine and Autonomic Systems 45
  • Behavioral Neuroscience 22
  • Genetics 63
Replace Eleonora Nargi with:
Eleonora Nargi Italy
Anne‐Catherine Passaquin Switzerland
Françoise Wilkin Belgium
David Langer Germany
Alexey Pereverzev Germany
Sarah E. Tague United States
Qini Gan United States
E. Orsó Germany
Junji Iwasaki Japan
Xin Hu China
Jack Ham relative to Eleonora Nargi Italy Eleonora Nargi's profile →
Citations per field
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Eleonora Nargi · 1×
Citations per year

Countries citing papers authored by Jack Ham

Since Specialization
Citations

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

Fields of papers citing papers by Jack Ham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011139
2 200686
3 200352
4 201251
5 200338
6 200627
7 199126
8 198422
9 200320
10 200814
11 198614
12 19936
13 19846
14 20095
15 19913
16 19942
17 19992
18 19902
19
Adenosine is an important regulator of mesenchymal stem cell differentiation into osteoblasts
20081
20
Mesenchymal stem cell differentiation to osteoblasts and adipocytes is associated with differential adenosine receptor expression
20091

About Jack Ham

Jack Ham is a scholar working on Physiology, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 519 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (10 papers), Mesenchymal stem cell research (3 papers), Receptor Mechanisms and Signaling (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Reproductive System and Pregnancy (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Physiology (191 citations), Transplantation (20 citations), Endocrine and Autonomic Systems (45 citations), Behavioral Neuroscience (22 citations) and Genetics (63 citations). Jack Ham has collaborated with scholars based in United Kingdom, Germany and Romania. Frequent co-authors include B. A. J. Evans, Borzo Gharibi, Karen Francis, M. F. Scanlon, B. M. Lewis, Aled Rees, Andreas Deußen, Annette Pexa, Carole Elford and Peter N. Monk. Their work appears in journals such as Journal of Bone and Mineral Research, The FASEB Journal, Biochemical Society Transactions, Clinical Science and Endocrine Practice.

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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