Mani Nassir

506 total citations · 1 hit paper
15 papers, 329 citations indexed

About

Mani Nassir is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Surgery. According to data from OpenAlex, Mani Nassir has authored 15 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Reproductive Medicine, 4 papers in Obstetrics and Gynecology and 3 papers in Surgery. Recurrent topics in Mani Nassir's work include Ovarian cancer diagnosis and treatment (7 papers), Endometrial and Cervical Cancer Treatments (3 papers) and Intraperitoneal and Appendiceal Malignancies (3 papers). Mani Nassir is often cited by papers focused on Ovarian cancer diagnosis and treatment (7 papers), Endometrial and Cervical Cancer Treatments (3 papers) and Intraperitoneal and Appendiceal Malignancies (3 papers). Mani Nassir collaborates with scholars based in Germany, Austria and Belgium. Mani Nassir's co-authors include Elena Ioana Braicu, Jalid Sehouli, Rolf Richter, Dieter Beule, Max Schmidt, Manuela Benary, Georg Hilfenhaus, Ulrich Keilholz, Damian Rieke and Ulf Leser and has published in prestigious journals such as Annals of Surgical Oncology, Oncotarget and JAMA Network Open.

In The Last Decade

Mani Nassir

14 papers receiving 323 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Leveraging Large Language Models for Decision Support in Personalized Oncology

2023 139 citations Manuela Benary, Max Schmidt et al. JAMA Network Open profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mani Nassir Germany	9	101	87	70	58	55	15	329
Shinichi Tsuchiya Japan	7	49 0.5×	16 0.2×	74 1.1×	42 0.7×	126 2.3×	15	347
Gareth Bryson United Kingdom	9	32 0.3×	13 0.1×	57 0.8×	70 1.2×	48 0.9×	20	274
Sean Hacking United States	9	15 0.1×	17 0.2×	31 0.4×	22 0.4×	68 1.2×	40	270
Jenna Marcus United States	9	50 0.5×	5 0.1×	46 0.7×	33 0.6×	38 0.7×	29	249
Annarita Gencarelli Italy	9	137 1.4×	5 0.1×	38 0.5×	35 0.6×	17 0.3×	20	330
E Sun Paik South Korea	15	268 2.7×	6 0.1×	22 0.3×	119 2.1×	102 1.9×	42	556
Katja Siegmann-Luz Germany	10	16 0.2×	16 0.2×	46 0.7×	10 0.2×	22 0.4×	22	307
Yongai Li China	9	140 1.4×	7 0.1×	45 0.6×	9 0.2×	43 0.8×	25	314
Xiuhe Zou China	11	8 0.1×	11 0.1×	19 0.3×	75 1.3×	151 2.7×	29	382

Countries citing papers authored by Mani Nassir

Since Specialization

Citations

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

Fields of papers citing papers by Mani Nassir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mani Nassir

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

All Works

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15 of 15 papers shown

Benary, Manuela, Max Schmidt, Dominik Soll, et al.. (2023). Leveraging Large Language Models for Decision Support in Personalized Oncology. JAMA Network Open. 6(11). e2343689–e2343689. 139 indexed citations breakdown →

Michel, Klaus, Magdalena Sarah Volz, Mani Nassir, et al.. (2018). High prevalence and functional effects of serum antineuronal antibodies in patients with gastrointestinal disorders. Neurogastroenterology & Motility. 30(6). e13292–e13292. 16 indexed citations

Kischkel, Frank, et al.. (2017). Prediction of clinical response to drugs in ovarian cancer using the chemotherapy resistance test (CTR-test). Journal of Ovarian Research. 10(1). 72–72. 5 indexed citations

Braicu, Elena Ioana, Mani Nassir, Rolf Richter, et al.. (2016). Lymph Node Involvement Pattern and Survival Differences of FIGO IIIC and FIGO IIIA1 Ovarian Cancer Patients After Primary Complete Tumor Debulking Surgery: A 10-Year Retrospective Analysis of the Tumor Bank Ovarian Cancer Network. Annals of Surgical Oncology. 23(4). 1279–1286. 17 indexed citations

Kredel, Lea I., et al.. (2016). Benigne rekurrierende aseptische Meningitis. Der Internist. 57(2). 188–193.

Zeillinger, Robert, Nicole Concin, Ignace Vergote, et al.. (2016). Role of IGF-I in Primary Ovarian Cancer - A Study of the OVCAD European Consortium.. PubMed. 36(3). 1015–22. 7 indexed citations

Volz, Magdalena Sarah, Mani Nassir, Christoph Treese, et al.. (2015). Inflammatory bowel disease (IBD)-like disease in a case of a 33-year old man with glycogenosis 1b. BMC Gastroenterology. 15(1). 45–45. 6 indexed citations

Nassir, Mani, Timo Siepmann, Rolf Richter, et al.. (2015). The role of HE4 for prediction of recurrence in epithelial ovarian cancer patients—results from the OVCAD study. Tumor Biology. 37(3). 3009–3016. 22 indexed citations

Seeber, Andreas, Elena Ioana Braicu, Gerold Untergasser, et al.. (2015). Detection of soluble EpCAM (sEpCAM) in malignant ascites predicts poor overall survival in patients treated with catumaxomab. Oncotarget. 6(28). 25017–25023. 14 indexed citations

10.

Braicu, Elena Ioana, Toon Van Gorp, Mani Nassir, et al.. (2014). Preoperative HE4 and ROMA values do not improve the CA125 diagnostic value for borderline tumors of the ovary (BOT) – a study of the TOC Consortium. Journal of Ovarian Research. 7(1). 49–49. 17 indexed citations

11.

Braicu, Elena Ioana, Rolf Richter, Mani Nassir, et al.. (2014). Role of serum VEGFA, TIMP2, MMP2 and MMP9 in monitoring response to adjuvant radiochemotherapy in patients with primary cervical cancer--results of a companion protocol of the randomized NOGGO-AGO phase III clinical trial.. PubMed. 34(1). 385–91. 28 indexed citations

12.

Muallem, Mustafa Zelal, Elena Ioana Braicu, Mani Nassir, et al.. (2014). ERCC1 expression as a predictor of resistance to platinum-based chemotherapy in primary ovarian cancer.. PubMed. 34(1). 393–9. 22 indexed citations

13.

Nassir, Mani, Elena Ioana Braicu, Christina Fotopoulou, et al.. (2014). Is endometrial cancer really a neurophobic tumor? A case report and review of the literature.. PubMed. 34(1). 249–57. 5 indexed citations

14.

Nassir, Mani, Silvia Darb‐Esfahani, Rolf Richter, et al.. (2013). HE4 tissue expression in borderline ovarian tumors: a pilot study by the tumorbank ovarian cancer network.. PubMed. 33(4). 1673–7. 8 indexed citations

15.

Braicu, Elena Ioana, Radoslav Chekerov, Rolf Richter, et al.. (2013). HE4 Expression in Plasma Correlates with Surgical Outcome and Overall Survival in Patients with First Ovarian Cancer Relapse. Annals of Surgical Oncology. 21(3). 955–962. 23 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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