Pamela Tabaczka

996 citations
32 papers · 736 indexed · h-index 17
Topics
Chronic Lymphocytic Leukemia Research (8 papers)Lymphoma Diagnosis and Treatment (8 papers)Immune Cell Function and Interaction (4 papers)
Partner nations
United States

In The Last Decade

Pamela Tabaczka

32 papers receiving 697 citations

Peers

Pamela Tabaczka
Comparison fields: 5 of 62
  • Pathology and Forensic Medicine 322
  • Oncology 227
  • Pulmonary and Respiratory Medicine 209
  • Immunology 184
  • Genetics 181
Replace Tadashi Motoori with:
Tadashi Motoori Japan
Nidal M. Almasri Jordan
Jens Krugmann Austria
H Peng United Kingdom
Huaizheng Peng United Kingdom
Renzo Ranaldi Italy
Diane L. Pickering United States
John Dervenoulas Greece
H K Müller‐Hermelink Germany
Lucile Couronné France
Pamela Tabaczka relative to Tadashi Motoori Japan Tadashi Motoori's profile →
Citations per field
00.5×1.5×2.2×
Tadashi Motoori · 1×
Citations per year

Countries citing papers authored by Pamela Tabaczka

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Tabaczka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Tabaczka

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Tabaczka. A scholar is included among the top collaborators of Pamela Tabaczka 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 Pamela Tabaczka. Pamela Tabaczka 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
#WorkIndexed citations
1 17
2 84
3 92
4 60
5 10
6 4
7 1
8 13
9 14
10 17
11 16
12 18
13 32
14 4
15 4
16 21
17 30
18
Cytochemical and immunological aspects of the acute lymphocytic leukemias (as related to FAB classification).
1
19 34
20 32

About Pamela Tabaczka

Pamela Tabaczka is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology, having authored 32 papers that have together received 736 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (8 papers), Lymphoma Diagnosis and Treatment (8 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (322 citations), Genetics (181 citations) and Gastroenterology (50 citations). Pamela Tabaczka has collaborated with scholars based in United States. Frequent co-authors include Margarita Palutke, David R. Lucas, Debra Kukuruga, Merlın Hamre, Mousa A. Al‐Abbadi, Daniel W. Visscher, Donald W. Weaver, S. Madan, A. Wali and Volkan Adsay. Their work appears in journals such as Blood, Cancer and Annals of the New York Academy of Sciences.

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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