Ann Friedman

1.0k citations
34 papers · 612 · h-index 14

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Hematopoietic Stem Cell Transplantation 10
    • Acute Myeloid Leukemia Research 7
    • Epigenetics and DNA Methylation 6
    • Protein Degradation and Inhibitors 4

Ann Friedman

29 papers receiving 607 citations

Peers

Ann Friedman
Comparison fields: 5 of 61
  • Hematology 168
  • Immunology 222
  • Transplantation 28
  • Molecular Biology 306
  • Genetics 40
Replace S. Scott Perry with:
S. Scott Perry United States
Helen Ferry United Kingdom
Jeanne Naulet France
Peter J. Schnorr United States
S. Yasue Japan
Ashwin Basavaraj United States
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Sheila Dias United States
H M Lee United States
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Citations per field
00.5×9.3×
S. Scott Perry · 1×
Citations per year

Countries citing papers authored by Ann Friedman

Since Specialization
Citations

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

Fields of papers citing papers by Ann Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013111
2 201084
3 201551
4 201341
5 201136
6 200834
7 201132
8 201526
9 201824
10 202022
11 201022
12 200320
13
Nutritional management of the child with mild to moderate chronic renal failure.
199618
14 202116
15 202113
16 201311
17 200911
18 201910
19 20198
20 20217

About Ann Friedman

Ann Friedman is a scholar working on Hematology, Molecular Biology, Immunology, Physiology and Genetics, having authored 34 papers that have together received 612 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Acute Myeloid Leukemia Research (7 papers), Epigenetics and DNA Methylation (6 papers), T-cell and B-cell Immunology (6 papers), Hemoglobinopathies and Related Disorders (5 papers), Immune Cell Function and Interaction (5 papers), Protein Degradation and Inhibitors (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Hematology (168 citations), Immunology (222 citations), Transplantation (28 citations), Molecular Biology (306 citations) and Genetics (40 citations). Ann Friedman has collaborated with scholars based in United States, Slovakia and Croatia. Frequent co-authors include Ivan Maillard, Vedran Radojčić, Pavan Reddy, Ivy Tran, Ashley R. Sandy, Jooho Chung, Christian W. Siebel, Minhong Yan, Warren S. Pear and Amy L. Shelton. Their work appears in journals such as Blood, The Journal of Immunology, Journal of Clinical Investigation, Journal of Biological Chemistry and JCI Insight.

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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