Yumiko Takada

4.4k citations
217 papers · 3.7k indexed · h-index 34

Yumiko Takada

211 papers receiving 3.5k citations

Peers

Yumiko Takada
Comparison fields: 5 of 131
  • Hematology 887
  • Cancer Research 1.2k
  • Biological Psychiatry 99
  • Immunology and Allergy 215
  • Behavioral Neuroscience 117
Replace Akikazu Takada with:
Akikazu Takada Japan
Narendra N. Tandon United States
Kazuo Kitamura Japan
Katya Ravid United States
Silvia Amadesi Italy
Robert J. Parmer United States
Masakiyo Sasahara Japan
Marvin Bayne United States
Nina S. Levy Israel
Hiroyuki Matsuno Japan
Yumiko Takada relative to Akikazu Takada Japan Akikazu Takada's profile →
Citations per field
00.5×1.5×
Akikazu Takada · 1×
Citations per year

Countries citing papers authored by Yumiko Takada

Since Specialization
Citations

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

Fields of papers citing papers by Yumiko Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20190
2 200216
3 200043
4 199514
5 199518
6
Peripheral and central serotonergic systems in rats subjected to footshock or water-immersion restraint stress
199416
7 199411
8 19946
9 199330
10 199329
11 19914
12 19904
13 199020
14 199019
15 19895
16 198623
17 198627
18
Membrane characteristics of established human T- and B-cell lines. Cross-reactivity of human T-antigenic determinants with peripheral lymphocytes of non-human primates and the presence of MLC antigens on cultured T-cell lines.
19761
19
Antigenic determinants common to established human B-cell lines, but not shared by human T-cell lines (molt and sommer).
19756
20 196965

About Yumiko Takada

Yumiko Takada is a scholar working on Cancer Research, Hematology and Immunology and Allergy, having authored 217 papers that have together received 3.7k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (98 papers), Blood Coagulation and Thrombosis Mechanisms (49 papers), Blood properties and coagulation (42 papers), Neurotransmitter Receptor Influence on Behavior (17 papers), Enzyme Production and Characterization (16 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (13 papers), Peptidase Inhibition and Analysis (13 papers) and Cell Adhesion Molecules Research (12 papers). The work is most often cited by research in Hematology (887 citations), Cancer Research (1.2k citations) and Biological Psychiatry (99 citations). Yumiko Takada has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Akikazu Takada, Tetsumei Urano, Nobuo Nagai, Kenichi Sumiyoshi, Yoshiaki Sugawara, Julian L. Ambrus, M.H. Pietraszek, Hayato Ihara, K. Serizawa and Andrzej Rydzewski. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Blood.

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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