Ibrahim A. Hashim

3.3k total citations · 2 hit papers
52 papers, 2.3k citations indexed

About

Ibrahim A. Hashim is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ibrahim A. Hashim has authored 52 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Surgery and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ibrahim A. Hashim's work include Acute Myocardial Infarction Research (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Pituitary Gland Disorders and Treatments (3 papers). Ibrahim A. Hashim is often cited by papers focused on Acute Myocardial Infarction Research (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Pituitary Gland Disorders and Treatments (3 papers). Ibrahim A. Hashim collaborates with scholars based in United States, United Kingdom and Saudi Arabia. Ibrahim A. Hashim's co-authors include James A. de Lemos, Colby Ayers, Darren K. McGuire, Шломо Мелмед, M. Hassan Murad, Maria Fleseriu, Mary H. Samuels, Niki Karavitaki, Roberto Salvatori and Mark H. Drazner and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Journal of the American College of Cardiology.

In The Last Decade

Ibrahim A. Hashim

43 papers receiving 2.2k citations

Hit Papers

Association of Troponin T Detected With a Highly Sensitiv... 2010 2026 2015 2020 2010 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ibrahim A. Hashim United States 16 1.1k 584 569 449 208 52 2.3k
Jouke T. Tamsma Netherlands 32 1.1k 1.0× 377 0.6× 349 0.6× 173 0.4× 391 1.9× 63 2.4k
Janet Lo United States 31 753 0.7× 707 1.2× 484 0.9× 134 0.3× 651 3.1× 84 3.7k
Dóra Körmendiné Farkas Denmark 27 402 0.4× 470 0.8× 274 0.5× 118 0.3× 474 2.3× 125 2.4k
William P. Shuman United States 22 238 0.2× 228 0.4× 434 0.8× 483 1.1× 291 1.4× 42 1.7k
Mouin G. Seikaly United States 26 369 0.3× 354 0.6× 325 0.6× 167 0.4× 254 1.2× 62 3.1k
Dursun Aras Türkiye 23 1.6k 1.4× 475 0.8× 155 0.3× 159 0.4× 382 1.8× 222 2.4k
Kurt Derfler Austria 31 245 0.2× 670 1.1× 211 0.4× 208 0.5× 193 0.9× 125 2.6k
Jordi Bas Spain 18 462 0.4× 291 0.5× 136 0.2× 130 0.3× 307 1.5× 47 2.3k
Kirsti Näntö‐Salonen Finland 25 333 0.3× 736 1.3× 1.1k 1.9× 82 0.2× 270 1.3× 72 2.9k
Wolfgang Sturm Austria 25 569 0.5× 388 0.7× 168 0.3× 78 0.2× 203 1.0× 63 1.6k

Countries citing papers authored by Ibrahim A. Hashim

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim A. Hashim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ibrahim A. Hashim. 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 Ibrahim A. Hashim. The network helps show where Ibrahim A. Hashim may publish in the future.

Co-authorship network of co-authors of Ibrahim A. Hashim

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

All Works

20 of 20 papers shown
1.
Hashim, Ibrahim A., et al.. (2025). PREVALENCE OF HELICOBACTER-PYLORI ASSOCIATED GASTRITIS AMONG PATIENTS IN QUETTA DISTRICT, BALOCHISTAN. 3(3 (Health & Allied)). 502–508.
2.
Narasimhan, Madhusudhanan, et al.. (2024). Recent Recall of Iron Reagent—Investigation of Potential Reagent Contamination and Assay Improvement Strategy. The Journal of Applied Laboratory Medicine. 9(6). 1040–1052.
4.
Cao, Jianhong, et al.. (2023). B-005 Blood pH and Phosphate Tend to Follow an Inversely Correlated Homeostatic Status. Clinical Chemistry. 69(Supplement_1).
5.
Tanak, Ambalika Sanjeev, Sriram Muthukumar, Ibrahim A. Hashim, & Shalini Prasad. (2020). Establish pre-clinical diagnostic efficacy for parathyroid hormone as a point-of-surgery-testing-device (POST). Scientific Reports. 10(1). 18804–18804. 8 indexed citations
6.
Nguyen, Khanh Q., et al.. (2020). Circulating macroprolactin exhibits molecular heterogeneity and is not exclusively an antibody complex. Clinica Chimica Acta. 514. 90–95. 8 indexed citations
7.
Hashim, Ibrahim A., et al.. (2018). Plasma lactate measurement as an example of encountered gaps between routine clinical laboratory processes and manufactures' sample-handling instructions. Practical Laboratory Medicine. 12. e00109–e00109. 2 indexed citations
8.
Hashim, Ibrahim A. & Jennifer A. Cuthbert. (2014). Elevated ammonia concentrations: Potential for pre-analytical and analytical contributing factors. Clinical Biochemistry. 47(16-17). 233–236. 19 indexed citations
9.
Gore, M. Odette, Stephen L. Seliger, Christopher R. deFilippi, et al.. (2014). Age- and Sex-Dependent Upper Reference Limits for the High-Sensitivity Cardiac Troponin T Assay. Journal of the American College of Cardiology. 63(14). 1441–1448. 278 indexed citations
10.
Barnes, Aliessa, David E. Fixler, Tejas Shah, et al.. (2012). Use of a highly sensitive assay for cardiac troponin T and N-terminal pro-brain natriuretic peptide to diagnose acute rejection in pediatric cardiac transplant recipients. American Heart Journal. 163(4). 595–600. 22 indexed citations
11.
Balaha, Magdy Hassan, et al.. (2011). Risk factors and birth prevalence of birth defects and inborn errors of metabolism in Al Ahsa, Saudi Arabia. Pan African Medical Journal. 8(1). 14–14. 30 indexed citations
12.
Akbar, Daad H., et al.. (2002). The insulin resistance syndrome among type II diabetics.. PubMed. 23(9). 1045–8. 5 indexed citations
13.
Hashim, Ibrahim A., et al.. (2000). Circadian rhythm of granulocyte-macrophage colony-stimulating factor in normal subjects and neutropenic hospitalised patients. Irish Journal of Medical Science (1971 -). 169(1). 55–57. 6 indexed citations
14.
Hashim, Ibrahim A., et al.. (1999). Wet vs. dry chemical analysis of renal stones. Irish Journal of Medical Science (1971 -). 168(2). 114–118. 8 indexed citations
15.
Hashim, Ibrahim A., et al.. (1997). Cytokine changes in patients with heatstroke during pilgrimage to Makkah. Mediators of Inflammation. 6(2). 135–139. 35 indexed citations
16.
Miell, J P, Jenny Jones, Adrian Bonner, et al.. (1997). Contractile protein synthesis rates in vivo in the rat jejunum: modulating role of adrenalectomy and thyroidectomy on ethanol‐induced changes. Addiction Biology. 2(1). 67–79. 13 indexed citations
17.
Hashim, Ibrahim A., et al.. (1995). Cerebrospinal Fluid Interleukin-6 and Its Diagnostic Value in the Investigation of Meningitis. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 32(3). 289–296. 18 indexed citations
20.
Hashim, Ibrahim A., et al.. (1990). The Proportion of Glycosylated Prolactin in Serum Is Decreased in Hyperprolactinemic States. The Journal of Clinical Endocrinology & Metabolism. 71(1). 111–115. 20 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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