Miron Prokocimer

2.8k citations
60 papers · 2.3k indexed · h-index 22

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 11
    • Acute Myeloid Leukemia Research 7
    • Chronic Lymphocytic Leukemia Research 17

Miron Prokocimer

59 papers receiving 2.3k citations

Peers

Miron Prokocimer
Comparison fields: 5 of 93
  • Hematology 551
  • Genetics 342
  • Oncology 860
  • Biotechnology 197
  • Molecular Biology 1.2k
Replace Tsuyoshi Nakamaki with:
Tsuyoshi Nakamaki Japan
Kensuke Kojima Japan
Yoshihiro Hatta Japan
Carol A. Westbrook United States
Miller Cw United States
Mark Blick United States
J. Whang‐Peng United States
Kazushi Inoue United States
AM Gianni Italy
Cristina Papayannidis Italy
Miron Prokocimer relative to Tsuyoshi Nakamaki Japan Tsuyoshi Nakamaki's profile →
Citations per field
00.5×1.5×2.0×
Tsuyoshi Nakamaki · 1×
Citations per year

Countries citing papers authored by Miron Prokocimer

Since Specialization
Citations

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

Fields of papers citing papers by Miron Prokocimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201370
2 20114
3 2009215
4 20075
5 200625
6 200658
7 20049
8 2003191
9 200331
10 199914
11 19984
12 1998118
13 199823
14 19963
15 19965
16 199136
17
The significance of paraproteinemia in hairy cell leukemia: case report and review of the literature.
19901
18 19885
19 198651
20 198510

About Miron Prokocimer

Miron Prokocimer is a scholar working on Hematology, Genetics, Internal Medicine, Oncology and Rheumatology, having authored 60 papers that have together received 2.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (17 papers), Cancer-related Molecular Pathways (12 papers), Chronic Myeloid Leukemia Treatments (11 papers), Lymphoma Diagnosis and Treatment (9 papers), Acute Myeloid Leukemia Research (7 papers), Nuclear Structure and Function (5 papers), Eosinophilic Disorders and Syndromes (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Hematology (551 citations), Genetics (342 citations), Oncology (860 citations), Biotechnology (197 citations) and Molecular Biology (1.2k citations). Miron Prokocimer has collaborated with scholars based in Israel, United States and Slovakia. Frequent co-authors include Varda Rotter, Yosef Gruenbaum, D. Wolf, Aaron Polliack, Alina Molchadsky, Ayelet Margalit, H. Phillip Koeffler, Mati Shaklai, Carl W. Miller and T. Mohandas. Their work appears in journals such as Blood, Postgraduate Medical Journal, Cancer, American Journal of Hematology and Leukemia Research.

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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