Amy Kimball

57 papers receiving 1.0k citations

Peers

Amy Kimball
Comparison fields: 5 of 89
  • Hematology 361
  • Oncology 325
  • Microbiology 73
  • Pathology and Forensic Medicine 175
  • Molecular Biology 607
Replace Barbara J. McClure with:
Barbara J. McClure Australia
Alejo A. Morales United States
Christi L. Wood United States
Fleur François United States
Naveen Dakappagari United States
Alexander L. Kovalchuk United States
Keisuke Horikawa Australia
Nathan D. Montgomery United States
Friederike Herbst Germany
Thomas Boenisch United States
Amy Kimball relative to Barbara J. McClure Australia Barbara J. McClure's profile →
Citations per field
00.5×4.3×
Barbara J. McClure · 1×
Citations per year

Countries citing papers authored by Amy Kimball

Since Specialization
Citations

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

Fields of papers citing papers by Amy Kimball

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017281
2 2007118
3 200175
4 199049
5 201943
6 201632
7 199330
8 201829
9 201626
10 202121
11 201721
12 198920
13 201519
14 201017
15 201417
16 201215
17 201614
18 201514
19 201914
20 199512

About Amy Kimball

Amy Kimball is a scholar working on Molecular Biology, Hematology, Pathology and Forensic Medicine, Oncology and Genetics, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (19 papers), Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (12 papers), Protein Degradation and Inhibitors (10 papers), Viral-associated cancers and disorders (6 papers), Immune Cell Function and Interaction (6 papers), Cancer Treatment and Pharmacology (5 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Hematology (361 citations), Oncology (325 citations), Microbiology (73 citations), Pathology and Forensic Medicine (175 citations) and Molecular Biology (607 citations). Amy Kimball has collaborated with scholars based in United States, Greece and Germany. Frequent co-authors include Thomas D. Tullius, Heinz Ludwig, Meletios Α. Dimopoulos, Rubén Niesvizky, Philippe Moreau, Robert Z. Orlowski, Albert Oriol, Hartmut Goldschmidt, Wee Joo Chng and Leonard Minuk. Their work appears in journals such as Blood, Journal of Clinical Oncology, International Journal of Pediatric Otorhinolaryngology, American Journal of Medical Genetics Part C Seminars in Medical Genetics and Journal of Biological Chemistry.

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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