Amira Many

1.5k citations
39 papers · 1.1k indexed · h-index 17

Impact in

  • Hematology top 2%
    • Blood Coagulation and Thrombosis Mechanisms
    • Platelet Disorders and Treatments
    • Hemophilia Treatment and Research
    • Venous Thromboembolism Diagnosis and Management

Papers in

    • Systemic Lupus Erythematosus Research 17
    • Chronic Lymphocytic Leukemia Research 7

Amira Many

38 papers receiving 1.0k citations

Peers

Amira Many
Comparison fields: 5 of 87
  • Hematology 519
  • Internal Medicine 150
  • Rheumatology 378
  • Obstetrics and Gynecology 162
  • Genetics 179
Replace S.J. Machin with:
S.J. Machin United Kingdom
Javier Batlle Spain
Murielle Mutin France
Toshitaka Sugi Japan
A. Estellés Spain
Despina Kyriakou Greece
SI Rapaport United States
Maria Tiziana Bertero Italy
J. Roger Edson United States
Nicole Schlegel France
Amira Many relative to S.J. Machin United Kingdom S.J. Machin's profile →
Citations per field
00.5×6.7×
S.J. Machin · 1×
Citations per year

Countries citing papers authored by Amira Many

Since Specialization
Citations

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

Fields of papers citing papers by Amira Many

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201222
2 200412
3 2001108
4 20019
5 20002
6 20002
7 1999204
8 19987
9
Interferon-alpha-2b with VMCP for induction in multiple myeloma: the Israel Myeloma Cooperative Group experience.
19952
10 199523
11 199417
12 19936
13 199238
14 199258
15 19893
16
The antiphospholipid syndrome.
19892
17 198629
18 197933
19 19717
20 1968103

About Amira Many

Amira Many is a scholar working on Rheumatology, Genetics, Internal Medicine, Hematology and Immunology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (17 papers), Chronic Lymphocytic Leukemia Research (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Pregnancy and preeclampsia studies (4 papers), Reproductive System and Pregnancy (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Hematology (519 citations), Internal Medicine (150 citations), Rheumatology (378 citations), Obstetrics and Gynecology (162 citations) and Genetics (179 citations). Amira Many has collaborated with scholars based in Israel, United States and Slovakia. Frequent co-authors include Bracha Ramot, Rachel Pauzner, Michaela Modan, Ayala Lusky, Robert S. Schwartz, Hana Leiba, Pnina Langevitz, U. Martinowitz, Aida Inbal and Sanford N. Gitel. Their work appears in journals such as Acta Haematologica, American Journal of Reproductive Immunology, The American Journal of the Medical Sciences, Blood and Biological Psychiatry.

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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