T Haba

1.5k citations
53 papers · 1.1k indexed · h-index 17

Impact in

  • Nephrology top 0.5%
    • Parathyroid Disorders and Treatments
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Renal Transplantation Outcomes and Treatments 20
    • Parathyroid Disorders and Treatments 15
    • Renal Diseases and Glomerulopathies 6
    • Dialysis and Renal Disease Management 5

T Haba

52 papers receiving 1.0k citations

Peers

T Haba
Comparison fields: 5 of 56
  • Nephrology 734
  • Transplantation 200
  • Genetics 352
  • Nutrition and Dietetics 158
  • Surgery 330
Replace Tetsuhiko Sato with:
Tetsuhiko Sato Japan
Harley R. Powell Australia
B Hory France
J. de Graeff Netherlands
Miriam C. Banas Germany
Hideyuki Katori Japan
Bunyong Phakdeekitcharoen Thailand
Shohei Nakanishi Japan
B Fellström Sweden
Blaise Robin France
T Haba relative to Tetsuhiko Sato Japan Tetsuhiko Sato's profile →
Citations per field
00.5×2.8×
Tetsuhiko Sato · 1×
Citations per year

Countries citing papers authored by T Haba

Since Specialization
Citations

This map shows the geographic impact of T Haba'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 T Haba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Haba more than expected).

Fields of papers citing papers by T Haba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200729
2 20052
3
20030
4 200345
5 200221
6 2001119
7 20016
8 20017
9 200149
10 20016
11 20005
12 200013
13 199910
14 199991
15 199810
16 19988
17 19972
18
Indications for parathyroidectomy in renal hyperparathyroidism
19964
19 19942
20 199217

About T Haba

T Haba is a scholar working on Transplantation, Nephrology, Genetics, Immunology and Hepatology, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (20 papers), Parathyroid Disorders and Treatments (15 papers), Organ Transplantation Techniques and Outcomes (10 papers), Genetic Syndromes and Imprinting (9 papers), Renal Diseases and Glomerulopathies (6 papers), Organ Donation and Transplantation (5 papers), Dialysis and Renal Disease Management (5 papers) and Medical Imaging and Pathology Studies (4 papers). The work is most often cited by research in Nephrology (734 citations), Transplantation (200 citations), Genetics (352 citations), Nutrition and Dietetics (158 citations) and Surgery (330 citations). T Haba has collaborated with scholars based in Japan and Greece. Frequent co-authors include Kazuharu Uchida, Yoshihiro Tominaga, Akio Katayama, Hiroshi Takagi, Tetsuhiko Sato, Masahiro Numano, Norihiko Goto, Susumu Matsuoka, Yuji Tanaka and Junichiro James Kazama. Their work appears in journals such as American Journal of Kidney Diseases, Clinical Transplantation, World Journal of Surgery, Surgery Today and Transplantation.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026