Ming‐Ching Shen

1.9k citations
91 papers · 1.4k indexed · h-index 23

Ming‐Ching Shen

87 papers receiving 1.4k citations

Peers

Ming‐Ching Shen
Comparison fields: 5 of 81
  • Hematology 805
  • Genetics 255
  • Internal Medicine 52
  • Pathology and Forensic Medicine 211
  • Oncology 221
Replace Akira Tomonari with:
Akira Tomonari Japan
Françoise Picard France
M. Wolf Australia
Andrew R. Crow Canada
John B. Miller United States
Dorina Roem Netherlands
Guido Bisping Germany
Pascale Reverdiau France
Laurent Mauvieux France
K.L. Mettinger Sweden
Ming‐Ching Shen relative to Akira Tomonari Japan Akira Tomonari's profile →
Citations per field
00.5×3.2×
Akira Tomonari · 1×
Citations per year

Countries citing papers authored by Ming‐Ching Shen

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Ching Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Ching Shen. 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 Ming‐Ching Shen. The network helps show where Ming‐Ching Shen may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20257
2 20240
3 20230
4 20224
5 20202
6 20202
7 20166
8
Successful treatment of hemothorax and intracranial hemorrhage in a taiwanese hemophiliac with inhibitors by activated recombinant factor vii and positive pressure ventilation
20111
9
Study the therapeutic effect of the high activity FIX variants using hemophilia B mouse model
20111
10 200824
11 200838
12 200742
13 200426
14
High incidence of CD56 expression and relapse rate in acute myeloid leukemia patients with t(8;21) in Taiwan.
20028
15 20011
16 199717
17 199611
18 199618
19
Total Knee Arthroplasty in Hemophilic Arthropathy
199513
20 199322

About Ming‐Ching Shen

Ming‐Ching Shen is a scholar working on Hematology, Genetics, Internal Medicine, Pathology and Forensic Medicine and Immunology and Allergy, having authored 91 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (34 papers), Platelet Disorders and Treatments (22 papers), Blood Coagulation and Thrombosis Mechanisms (20 papers), Acute Myeloid Leukemia Research (12 papers), Cancer-related gene regulation (10 papers), Chronic Myeloid Leukemia Treatments (9 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers) and Chronic Lymphocytic Leukemia Research (7 papers). The work is most often cited by research in Hematology (805 citations), Genetics (255 citations), Internal Medicine (52 citations), Pathology and Forensic Medicine (211 citations) and Oncology (221 citations). Ming‐Ching Shen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hwei‐Fang Tien, Chiu‐Hwa Wang, Woei Tsay, Yee‐Chun Chen, Shu‐Wha Lin, Jih‐Luh Tang, Yao‐Chang Chen, Sou‐Ming Chuang, Ming‐Chi Liu and Ih‐Jen Su. Their work appears in journals such as British Journal of Haematology, Haemophilia, Thrombosis Journal, Thrombosis and Haemostasis and Carcinogenesis.

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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