Mary Ann Karam
- Hematology top 2%
- Multiple Myeloma Research and Treatments 22
- Internal Medicine top 10%
- Genetics top 10%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 2
- Oncology top 10%
- Cancer Treatment and Pharmacology 8
- Peptidase Inhibition and Analysis 7
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- Protein Degradation and Inhibitors 9
- Amyloidosis: Diagnosis, Treatment, Outcomes 4
- Retinoids in leukemia and cellular processes 3
- Cancer therapeutics and mechanisms 2
- Co-authors
- Mohamad A. HusseinRachid BazGordan SrkalovićBeth FaimanSteven AndrèsenJanice ReedMegan KellyJerome B. Zeldis
- Cited by
- HematologyInternal MedicineGenetics
- Partner nations
- United StatesEgyptUganda
In The Last Decade
Mary Ann Karam
27 papers receiving 525 citations
Peers
Comparison fields: 5 of 49
- Hematology 360
- Internal Medicine 63
- Genetics 113
- Oncology 235
- Molecular Biology 265
Countries citing papers authored by Mary Ann Karam
This map shows the geographic impact of Mary Ann Karam'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 Mary Ann Karam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Ann Karam more than expected).
Fields of papers citing papers by Mary Ann Karam
This network shows the impact of papers produced by Mary Ann Karam. 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 Mary Ann Karam. The network helps show where Mary Ann Karam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mary Ann Karam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 1 | |
| 2 | 2018 | 6 | |
| 3 | 2018 | 39 | |
| 4 | 2015 | 2 | |
| 5 | 2014 | 2 | |
| 6 | 2010 | 1 | |
| 7 | 2007 | 11 | |
| 8 | 2007 | 19 | |
| 9 | 2006 | 84 | |
| 10 | 2006 | 33 | |
| 11 | The role of race, socioeconomic status, and distance traveled on the outcome of African-American patients with multiple myeloma. | 2006 | 24 |
| 12 | 2005 | 168 | |
| 13 | 2005 | 4 | |
| 14 | 2005 | 1 | |
| 15 | 2004 | 8 | |
| 16 | 2004 | 2 | |
| 17 | 2003 | 8 | |
| 18 | 2003 | 15 | |
| 19 | 2002 | 38 | |
| 20 | 1998 | 14 |
About Mary Ann Karam
Mary Ann Karam is a scholar working on Hematology, Oncology and Genetics, having authored 28 papers that have together received 534 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (22 papers), Protein Degradation and Inhibitors (9 papers), Cancer Treatment and Pharmacology (8 papers), Peptidase Inhibition and Analysis (7 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Retinoids in leukemia and cellular processes (3 papers), Cancer therapeutics and mechanisms (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). The work is most often cited by research in Hematology (360 citations), Internal Medicine (63 citations) and Genetics (113 citations). Mary Ann Karam has collaborated with scholars based in United States, Egypt and Uganda. Frequent co-authors include Mohamad A. Hussein, Rachid Baz, Gordan Srkalović, Beth Faiman, Steven Andrèsen, Janice Reed, Megan Kelly, Jerome B. Zeldis, Rony Abou Jawde and Esteban Walker. Their work appears in journals such as Blood, Medical Oncology, Journal of Clinical Oncology, Mayo Clinic Proceedings and British Journal of Haematology.
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.