Bi‐Sen Ding

9.4k citations
74 papers · 6.4k indexed · 6 hit papers · h-index 37

Impact in

  • Hepatology top 1%
    • Liver physiology and pathology
  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation

Papers in

Bi‐Sen Ding

73 papers receiving 6.3k citations

Hit Papers

Targeting fibrosis: mechanisms and clinical trials 2022 · 296 citations
2962010202620152020200400600

Peers

Bi‐Sen Ding
Comparison fields: 5 of 127
  • Hepatology 879
  • Hematology 701
  • Cancer Research 770
  • Genetics 474
  • Cell Biology 714
Replace Sina Y. Rabbany with:
Sina Y. Rabbany United States
Hikaru Ueno Japan
Masayoshi Kobune Japan
Edward B. Leof United States
Girolamo Ranieri Italy
Eric Lagasse United States
Rainer Heuchel Sweden
Süleyman Ergün Germany
George Bou–Gharios United Kingdom
Alfredo Molinolo United States
Bi‐Sen Ding relative to Sina Y. Rabbany United States Sina Y. Rabbany's profile →
Citations per field
00.5×2.8×
Sina Y. Rabbany · 1×
Citations per year

Countries citing papers authored by Bi‐Sen Ding

Since Specialization
Citations

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

Fields of papers citing papers by Bi‐Sen Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bi‐Sen Ding. 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 Bi‐Sen Ding. The network helps show where Bi‐Sen Ding may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20256
4 202410
5 202432
6 20243
7 202312
8 20238
9 202312
10 202218
11 202214
12 202150
13 202127
14 202120
15 202171
16 202016
17 201342
18 20113
19 200955
20 2006133

About Bi‐Sen Ding

Bi‐Sen Ding is a scholar working on Hepatology, Internal Medicine, Hematology, Immunology and Cancer Research, having authored 74 papers that have together received 6.4k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (13 papers), Blood Coagulation and Thrombosis Mechanisms (12 papers), Liver physiology and pathology (11 papers), Venous Thromboembolism Diagnosis and Management (6 papers), Phagocytosis and Immune Regulation (6 papers), Fibroblast Growth Factor Research (5 papers), Congenital Diaphragmatic Hernia Studies (5 papers) and Organ Transplantation Techniques and Outcomes (5 papers). The work is most often cited by research in Hepatology (879 citations), Hematology (701 citations), Cancer Research (770 citations), Genetics (474 citations) and Cell Biology (714 citations). Bi‐Sen Ding has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Shahin Rafii, Jason M. Butler, Koji Shido, Sina Y. Rabbany, Daniel J. Nolan, Zhongwei Cao, Zev Rosenwaks, Peipei Guo, Raphaël Lis and Daylon James. Their work appears in journals such as Blood, Nature Cell Biology, Frontiers in Immunology, Nature and Circulation.

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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