Hanadi Dib

410 total citations
8 papers, 328 citations indexed

About

Hanadi Dib is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Hanadi Dib has authored 8 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Genetics and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Hanadi Dib's work include Cell Adhesion Molecules Research (3 papers), Systemic Sclerosis and Related Diseases (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Hanadi Dib is often cited by papers focused on Cell Adhesion Molecules Research (3 papers), Systemic Sclerosis and Related Diseases (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Hanadi Dib collaborates with scholars based in France, Belgium and United States. Hanadi Dib's co-authors include Guillaume Bussone, Luc Mouthon, Mathieu C. Tamby, Cédric Broussard, Marc Humbert, Loı̈c Guillevin, Frédéric Perros, Alexis Régent, Nicolas Tamas and Véronique Witko‐Sarsat and has published in prestigious journals such as Annals of the Rheumatic Diseases, European Respiratory Journal and PROTEOMICS.

In The Last Decade

Hanadi Dib

8 papers receiving 323 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hanadi Dib France	8	208	78	64	59	51	8	328
M.C. Tamby France	6	243 1.2×	55 0.7×	58 0.9×	122 2.1×	60 1.2×	7	337
Hideki Makino Japan	11	170 0.8×	67 0.9×	96 1.5×	32 0.5×	73 1.4×	33	419
Robert Brockett United States	4	97 0.5×	65 0.8×	85 1.3×	34 0.6×	32 0.6×	10	333
Junyan Qian China	12	105 0.5×	125 1.6×	126 2.0×	73 1.2×	90 1.8×	40	418
Katerina Sfiridaki Greece	11	146 0.7×	55 0.7×	107 1.7×	18 0.3×	20 0.4×	17	376
Yuichi Terado Japan	12	126 0.6×	51 0.7×	104 1.6×	24 0.4×	36 0.7×	27	367
Seiji Minota Japan	7	150 0.7×	155 2.0×	49 0.8×	23 0.4×	86 1.7×	11	299
Stephanie Brandal United States	13	170 0.8×	123 1.6×	144 2.3×	12 0.2×	26 0.5×	31	419
Eivind Smeland Norway	14	195 0.9×	93 1.2×	98 1.5×	56 0.9×	37 0.7×	22	441
Masakatsu Kinuta Japan	10	252 1.2×	94 1.2×	76 1.2×	20 0.3×	20 0.4×	63	473

Countries citing papers authored by Hanadi Dib

Since Specialization

Citations

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

Fields of papers citing papers by Hanadi Dib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanadi Dib

This figure shows the co-authorship network connecting the top 25 collaborators of Hanadi Dib. A scholar is included among the top collaborators of Hanadi Dib 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 Hanadi Dib. Hanadi Dib is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Régent, Alexis, Sébastien Lofek, Hanadi Dib, et al.. (2014). Identification of target antigens of anti-endothelial cell antibodies in patients with anti-neutrophil cytoplasmic antibody-associated vasculitides: A proteomic approach. Clinical Immunology. 153(1). 123–135. 21 indexed citations

Dib, Hanadi, Philippe Chafey, Guilhem Clary, et al.. (2012). Proteomes of umbilical vein and microvascular endothelial cells reflect distinct biological properties and influence immune recognition. PROTEOMICS. 12(15-16). 2547–2555. 27 indexed citations

Dib, Hanadi, Mathieu C. Tamby, Guillaume Bussone, et al.. (2011). Targets of anti-endothelial cell antibodies in pulmonary hypertension and scleroderma. European Respiratory Journal. 39(6). 1405–1414. 73 indexed citations

Régent, Alexis, Hanadi Dib, K.H. Ly, et al.. (2011). Identification of target antigens of anti-endothelial cell and anti-vascular smooth muscle cell antibodies in patients with giant cell arteritis: a proteomic approach. Arthritis Research & Therapy. 13(3). R107–R107. 36 indexed citations

Bussone, Guillaume, Hanadi Dib, Mathieu C. Tamby, et al.. (2011). Identification of new autoantibody specificities directed at proteins involved in the transforming growth factor β pathway in patients with systemic sclerosis. Arthritis Research & Therapy. 13(3). R74–R74. 16 indexed citations

Bussone, Guillaume, Mathieu C. Tamby, Cynthia Calzas, et al.. (2011). IgG from patients with pulmonary arterial hypertension and/or systemic sclerosis binds to vascular smooth muscle cells and induces cell contraction. Annals of the Rheumatic Diseases. 71(4). 596–605. 37 indexed citations

Tamby, Mathieu C., Guillaume Bussone, Hanadi Dib, et al.. (2011). The Role of Inflammation and Autoimmunity in the Pathophysiology of Pulmonary Arterial Hypertension. Clinical Reviews in Allergy & Immunology. 44(1). 31–38. 90 indexed citations

Bussone, Guillaume, Hanadi Dib, Jordan D. Dimitrov, et al.. (2009). Identification of target antigens of self‐reactive IgG in intravenous immunoglobulin preparations. PROTEOMICS. 9(8). 2253–2262. 28 indexed citations

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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