M. Lima

37.5k citations
68 papers · 1.9k · h-index 25

Impact in

Papers in

    • Chronic Myeloid Leukemia Treatments 31
    • Acute Myeloid Leukemia Research 10
    • Galaxies: Formation, Evolution, Phenomena 21
    • Cosmology and Gravitation Theories 16

M. Lima

67 papers receiving 1.9k citations

Peers

M. Lima
Comparison fields: 5 of 100
  • Instrumentation 319
  • Astronomy and Astrophysics 1.1k
  • Hematology 511
  • Nuclear and High Energy Physics 455
  • Genetics 263
Replace A. G. Smith with:
A. G. Smith United States
H. J. Deeg Spain
Lindsay King United States
P. Boumier France
C. Freiburghaus Sweden
P. A. Jones Australia
Wenting Wang China
Paul W. Angel Australia
Peter Sullivan United States
M. K. Daniel United States
M. Lima relative to A. G. Smith United States A. G. Smith's profile →
Citations per field
00.5×2.8×
A. G. Smith · 1×
Citations per year

Countries citing papers authored by M. Lima

Since Specialization
Citations

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

Fields of papers citing papers by M. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009194
2 2008160
3 2005117
4 2008113
5 200894
6 200487
7 200983
8 201074
9 201072
10 200461
11 200661
12 200460
13 200354
14 200552
15 201150
16 200750
17 201746
18 201735
19 200732
20 200832

About M. Lima

M. Lima is a scholar working on Hematology, Astronomy and Astrophysics, Genetics, Instrumentation and Rheumatology, having authored 68 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (31 papers), Galaxies: Formation, Evolution, Phenomena (21 papers), Chronic Lymphocytic Leukemia Research (18 papers), Cosmology and Gravitation Theories (16 papers), Astronomy and Astrophysical Research (13 papers), Eosinophilic Disorders and Syndromes (12 papers), Acute Myeloid Leukemia Research (10 papers) and Acute Lymphoblastic Leukemia research (9 papers). The work is most often cited by research in Instrumentation (319 citations), Astronomy and Astrophysics (1.1k citations), Hematology (511 citations), Nuclear and High Energy Physics (455 citations) and Genetics (263 citations). M. Lima has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Wayne Hu, Hiroaki Oyaizu, Fabian Schmidt, Richard E. Champlin, Carlos E. Cunha, J. Frieman, H. Lin, Sergio Giralt, Börje S. Andersson and Hagop M. Kantarjian. Their work appears in journals such as Blood, Monthly Notices of the Royal Astronomical Society, Biology of Blood and Marrow Transplantation, The Astrophysical Journal and Cancer.

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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