Eli Muchtar

7.7k citations
176 papers · 2.8k · h-index 27

Impact in

Papers in

    • Amyloidosis: Diagnosis, Treatment, Outcomes 73
    • Protein Degradation and Inhibitors 27
    • Multiple Myeloma Research and Treatments 73
    • Chronic Myeloid Leukemia Treatments 19

Eli Muchtar

159 papers receiving 2.8k citations

Peers

Eli Muchtar
Comparison fields: 5 of 108
  • Applied Microbiology and Biotechnology 199
  • Hematology 877
  • Genetics 691
  • Nephrology 252
  • Clinical Biochemistry 225
Replace Arlene Reisman with:
Arlene Reisman United States
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David E. Joyce United States
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Luciana Teofili Italy
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Daniel Shepshelovich Israel
Ki‐Seong Eom South Korea
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Citations per field
00.5×10×13.3×
Arlene Reisman · 1×
Citations per year

Countries citing papers authored by Eli Muchtar

Since Specialization
Citations

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

Fields of papers citing papers by Eli Muchtar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010470
2 2017188
3 2020162
4 2016108
5 201976
6 201867
7 201863
8 201652
9 201649
10 200949
11 201347
12 201644
13 201742
14 201942
15 202039
16 201638
17 201838
18 201637
19 202035
20 201933

About Eli Muchtar

Eli Muchtar is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Pathology and Forensic Medicine, having authored 176 papers that have together received 2.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (73 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (73 papers), Chronic Lymphocytic Leukemia Research (44 papers), Protein Degradation and Inhibitors (27 papers), Peptidase Inhibition and Analysis (22 papers), Lymphoma Diagnosis and Treatment (20 papers), Chronic Myeloid Leukemia Treatments (19 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (16 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (199 citations), Hematology (877 citations), Genetics (691 citations), Nephrology (252 citations) and Clinical Biochemistry (225 citations). Eli Muchtar has collaborated with scholars based in United States, Israel and Saudi Arabia. Frequent co-authors include Morie A. Gertz, Hila Magen, Angela Dispenzieri, Mical Paul, Leonard Leibovici, Galia Kariv, Vered Shani, Francis K. Buadi, Eyal Robenshtok and Shaji Kumar. Their work appears in journals such as Blood, Journal of Clinical Oncology, Bone Marrow Transplantation, American Journal of Hematology and Biology of Blood and Marrow Transplantation.

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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