Amy Lehman

7.3k citations
102 papers · 4.7k indexed · 2 hit papers · h-index 38

Impact in

Papers in

Amy Lehman

101 papers receiving 4.6k citations

Hit Papers

Extracting insights from the shape of complex data using topology 2013 · 312 citations
3121975202619922009100200300400

Peers

Amy Lehman
Comparison fields: 5 of 176
  • Genetics 919
  • Pathology and Forensic Medicine 858
  • Immunology 925
  • Oncology 1.2k
  • Hematology 445
Replace Yukinori Okada with:
Yukinori Okada Japan
David‐Alexandre Trégouët France
Mary J. Emond United States
William G. Newman United Kingdom
Jeanne Kowalski United States
David Barnett United Kingdom
Yoichiro Kamatani Japan
Hong Xiao United States
Nizar M. Tannir United States
Mi‐Ok Kim United States
Amy Lehman relative to Yukinori Okada Japan Yukinori Okada's profile →
Citations per field
00.5×2.7×
Yukinori Okada · 1×
Citations per year

Countries citing papers authored by Amy Lehman

Since Specialization
Citations

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

Fields of papers citing papers by Amy Lehman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20235
2 20209
3 202037
4 20202
5 202018
6 201927
7 201814
8 20164
9 201530
10 201558
11 201331
12 201323
13 201181
14 201111
15 201163
16 201078
17 200991
18 2008117
19 2007118
20 2005157

About Amy Lehman

Amy Lehman is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Immunology and Hematology, having authored 102 papers that have together received 4.7k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (34 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Immune Cell Function and Interaction (9 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Lymphoma Diagnosis and Treatment (8 papers), Immunodeficiency and Autoimmune Disorders (7 papers), T-cell and B-cell Immunology (6 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Genetics (919 citations), Pathology and Forensic Medicine (858 citations), Immunology (925 citations), Oncology (1.2k citations) and Hematology (445 citations). Amy Lehman has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include John C. Byrd, William E. Carson, David Jarjoura, E.A. de Weerd-Kastelein, Susan Kirk‐Bell, Malcolm C. Paterson, D. Bootsma, P.H.M. Lohman, C. F. Arlett and Susheela Tridandapani. Their work appears in journals such as Blood, Clinical Cancer Research, The Journal of Immunology, Oncotarget and American Journal of Clinical Pathology.

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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