Jill Moss

38 papers receiving 1.9k citations

Jill Moss's Hit Papers

Mesenchymal precursor cells in the blood of normal individuals 2000 · 563 citations
5630+8+17Years since publication100200300400500

Peers

Jill Moss
Comparison fields: 5 of 115
  • Nephrology 401
  • Genetics 549
  • Immunology 760
  • Hematology 249
  • Transplantation 52
Replace Walter Back with:
Walter Back Germany
Kristina Nilsson‐Ekdahl Sweden
Yifu Fang United States
Wolfgang Füreder Austria
Yamato Kikkawa Japan
Zhuma Hu United States
Fermín Sánchez‐Guijo Spain
Matti Korhonen Finland
Benjamin Dekel Israel
Peiqi Hu United States
Jill Moss relative to Walter Back Germany Walter Back's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jill Moss

Since Specialization
Citations

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

Fields of papers citing papers by Jill Moss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mesenchymal precursor cells in the blood of normal individuals
Hit paper breakdown →
2000563
2 2002402
3 2007222
4 200678
5 199972
6 199569
7 198842
8 198038
9
Toxic effects of recombinant tumor necrosis factor in suckling mice. Comparisons with interferon alpha/beta.
198735
10 198932
11 199230
12 199226
13 196826
14 200324
15 199422
16 201218
17 199018
18 201216
19 201016
20 200615

About Jill Moss

Jill Moss is a scholar working on Immunology, Molecular Biology, Nephrology, Genetics and Immunology and Allergy, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (8 papers), Cell Adhesion Molecules Research (7 papers), Complement system in diseases (5 papers), Proteoglycans and glycosaminoglycans research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Calcium signaling and nucleotide metabolism (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Nephrology (401 citations), Genetics (549 citations), Immunology (760 citations), Hematology (249 citations) and Transplantation (52 citations). Jill Moss has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include H. Terence Cook, Marina Botto, Mark Walport, Ravinder N. Maini, Jan A. Burger, Gill Adams, Nathan J. Zvaifler, Christopher Edwards, Matthew C. Pickering and Anne E. Bygrave. Their work appears in journals such as The Journal of Pathology, Journal of Cell Science, The Journal of Immunology, Transplantation and International Journal of Cancer.

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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