Monica E. de Baca

1.2k total citations
29 papers, 786 citations indexed

About

Monica E. de Baca is a scholar working on Hematology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Monica E. de Baca has authored 29 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 8 papers in Pathology and Forensic Medicine and 7 papers in Genetics. Recurrent topics in Monica E. de Baca's work include Acute Myeloid Leukemia Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and AI in cancer detection (4 papers). Monica E. de Baca is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and AI in cancer detection (4 papers). Monica E. de Baca collaborates with scholars based in United States, Canada and Australia. Monica E. de Baca's co-authors include David L. Page, Patrick L. Fitzgibbons, Eric P. Winer, Shikha Bose, Daniel F. Hayes, James L. Connolly, Barbara L. Smith, Frances P. O’Malley, Susan C. Lester and Donald L. Weaver and has published in prestigious journals such as Blood, Clinical Chemistry and The Laryngoscope.

In The Last Decade

Monica E. de Baca

29 papers receiving 754 citations

Peers

Monica E. de Baca
Comparison fields: 5 of 87
  • Cancer Research 339
  • Pathology and Forensic Medicine 243
  • Oncology 227
  • Hematology 157
  • Molecular Biology 124
Replace Feig Sa with:
Feig Sa United States
Dong Soon Lee South Korea
Sukjoong Oh South Korea
S. D. Finkelstein United States
Teri Oldaker United States
Shin‐ichi Tsuchiya Japan
Rouzan G. Karabakhtsian United States
Guillermo Villacampa Spain
Fabienne Hermitte France
Jerald Z. Gong United States
Feig Sa United States View profile →
Citations per field, relative to Monica E. de Baca
Monica E. de Baca · 1×
Citations per year, relative to Monica E. de Baca
Monica E. de Baca · 1×

Countries citing papers authored by Monica E. de Baca

Since Specialization
Citations

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

Fields of papers citing papers by Monica E. de Baca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monica E. de Baca. 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 Monica E. de Baca. The network helps show where Monica E. de Baca may publish in the future.

Co-authorship network of co-authors of Monica E. de Baca

This figure shows the co-authorship network connecting the top 25 collaborators of Monica E. de Baca. A scholar is included among the top collaborators of Monica E. de Baca based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Monica E. de Baca. Monica E. de Baca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 2
3 13
4 39
5 14
6 4
7 4
8 2
9 9
10 1
11 2
12 32
13 16
14 5
15 9
16 1
17 99
18 112
19 2
20 83

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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